Adaptive Software Research Articles

Development of deep learning software to improve HPLC and GC predictions using a new crown-ether based mesogenic stationary phase and beyond

The application of AI to analytical and separative sciences is a recent challenge that offers new perspectives in terms of data prediction. In this work, we report an AI-based software, named Chrompredict 1.0, which based on chromatographic data of a novel mesogenic crown ether stationary phase (CESP). Its molecular design represents a significant advancement due to the unique combination of properties and binding capabilities, including the formation of a cavity, mesogenic behavior via mobile chains, and a range of polar and non-polar interactions (aromatic rings, N=N and O=O double bonds, alkyl chains, π–π interactions, and hydrogen bonding). The mesogenic phase is effective in both normal and reversed-phase chromatography, enhancing the software's adaptability across diverse datasets.Here we introduce for the first time an unprecedented scientific approach, integrating deep learning techniques with the novel CESP, which demonstrates exceptional thermal and analytical performance in both liquid chromatography modes, especially in the separation of complex hydrocarbon isomers. This ability enables the results obtained with CESP to extend across various types of stationary phases.Leveraging these insights, a comprehensive chromatographic dataset on a series of aromatic and polyaromatic molecules interacting with our CESP was used to train a Deep Learning Model (DLM). This model is embedded within a user-friendly software, Chrompredict 1.0, designed for predicting chromatographic parameters (MAE = 0.042, R² = 0.95) by selecting chemical descriptors directly from SMILES notation. It offers a deeper understanding of molecular structure and interactions through exploratory data analysis, identifying key factors affecting model accuracy and chromatographic behavior.Users can configure hyperparameters, choose from six machine learning models, and compare their performance with DLM. Chrompredict 1.0 excels in retention behavior prediction for compounds with known structures, and it accurately predicts chromatographic retention and thermal characteristics for different temperatures in HPLC and GC. The model has been successfully tested with METLIN database of 1,023 small molecules of diverse structures and polarities (R² > 0.75, error range ±7.8 s). Overall, the CESP, combined with Chrompredict 1.0, offers a robust tool for intelligent chromatographic analysis, encompassing chemo-informatics, statistical analysis, and graphical capabilities across a broad range of compounds and stationary phases.

The Software Artifacts as Knowledge Products: A Systematic Review

Software industry organizations use different knowledge that can be consolidated, as in the case of a software artifact. A software artifact represents all organizational knowledge, as well as a knowledge product, once it has the same purpose as a software artifact in those organizations. However, these organizations face difficulties to update both software artifact and knowledge products continuously. So, this article aims to identify and understand the state of the art of adaptable software artifacts as knowledge products within software industry organizations. Therefore, we carried out a systematic literature review using searches in scientific digital databases. Our results point out 51 articles grouped into six categories according to their respective goals: explicit knowledge, in the most diverse forms; overview of the software industry; knowledge products; adaptive software artifacts; explicit knowledge within organizations of the software industry; and knowledge products in organizations of the software industry. Thus, these categories sought to group related issues; however, none of them presented a clear relationship on adaptive software artifacts as knowledge products within software industry organizations. However, the main finding of this research concerns the support of adaptable software artifacts backing the registration, storage and updating of organizational knowledge. That occurs since such organizations are inserted in the context of several technological changes, in which such adaptable software artifacts would be a support to keep the knowledge available and updated.

ANALYSIS OF APPROACHES TO DESIGN ONTOLOGICAL MODELS OF AN ADAPTIVE SOFTWARE SYSTEM

The paper analyzes approaches to the design of ontological models of adaptive software systems. To evaluate the quality of the projected ontologies, specialized groups of metrics are used, which allow us to determine the shortcomings in the structure and functioning of the model. An analysis of the use of ontological models in the process of designing and developing adaptive software systems has been carried out. It was established that the ontological approach allows for a more effective presentation of the subject area, which improves the software configuration process. The use of ontological models allows flexible responses to changes in user requirements without the need to directly update the source code of the software. The process of designing ontologies based on classical and abstract approaches is presented. It was determined that the use of a classical approach to the design of ontological models could complicate the adaptation process due to the need to change the structure and reconfiguration of the system. To solve this problem, an abstract approach is proposed that ensures the dynamism of the adaptation process, without the need for a complete reconfiguration of the system. A set of specialized metrics is defined that allows for the analysis of the ontological model of the software system, the evaluation of its syntactic and semantic quality, compliance with rules and interoperability, and the possibility of expansion. A comparative analysis of abstract and classical approaches to the design of ontological models was carried out based on defined structural metrics, as well as metrics of the scheme and filling of the knowledge base. The obtained values of structural and hierarchical metrics confirm the quality and effectiveness of the proposed approaches. According to the defined metrics, the absence of cycles and entanglement in the ontological model indicates the correctness of the construction of the structure from the point of view of ergonomics and the possibility of further changing the structure and filling of the ontological model. The analyzed values of the schema metrics and the filling of the knowledge base demonstrate the better effectiveness of the abstract approach in the process of determining the software configuration, which provides faster and more correct processing of ontological SWRL rules during adaptation.

The Integration of Technology-assisted Assessment in esl (English as a second Language) Instruction

This study explores the incorporation of technology-assisted evaluation in English as a Second Language (ESL) teaching and its influence on educational achievements. The study investigates the effectiveness of using several technology tools, such as online platforms, adaptive software, and multimedia resources, to evaluate the language ability of ESL learners. Through the utilization of these tools, instructors strive to deliver interactive, captivating, and customized assessments that provide significant insights into learners' advancement and areas requiring enhancement. The study highlights the significance of accuracy in the design and execution of assessments to guarantee their validity and reliability. The text examines the role of technology in enhancing the gathering and examination of assessment data, empowering educators to make well-informed choices to improve instructional methods and to cater to the unique needs of each student. Moreover, the study explores the capacity of technology-supported evaluation to tackle issues encountered in conventional assessment approaches, such as the ability to handle large-scale assessments and ensure impartiality. Additionally, it emphasizes the importance of addressing implementation factors, such as guaranteeing availability of devices and dependable internet connectivity. In summary, this article argues in favour of incorporating technology-assisted assessment into ESL training to improve learning outcomes and promote better language proficiency among learners.

Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration

BackgroundThe increasing demand for remote medical care, driven by digital healthcare advancements and the COVID-19 pandemic, necessitates effective solutions tailored to patients and healthcare practitioners. Co-design, involving collaboration between software developers, patients, and healthcare practitioners, prioritizes end-user needs. Research indicates that integrating patient perspectives enhances user experience and usability. However, its application in healthcare has been limited to small projects. This work focuses on co-designing a technological solution to enhance the monitoring and visual rehabilitation of individuals with Age-Related Macular Degeneration (AMD), a condition that significantly impacts the quality of life in people over 60. Current vision rehabilitation systems lack personalization, motivation, and effective progress monitoring. Involving patients and healthcare practitioners in the design process aims to ensure the final product meets their needs.MethodsThe project employs iterative and collaborative principles, involving a vision rehabilitation expert and two AMD patients as active users in the application’s development and validation. The process begins by establishing requirements for user accounts and rehabilitation exercises. It continues with an initial approach extended through user validation. Co-design is facilitated by specific workshops marking each project iteration, totaling four workshops, along with continuous communication sessions between experts and developers to validate design decisions. Initial requirements gathering and constant feedback from end-users, the visual rehabilitator, and patients are crucial for refining the product effectively.ResultsThe workshops produced a prototype featuring a test to monitor changes and progression and 15 visual rehabilitation exercises. Numerous patient and vision rehabilitation-driven software modifications led to a final design that is responsive and adaptive to end-user needs.ConclusionsThe Rehab-AMD pilot project aims to develop a collaborative and adaptive software solution for AMD rehabilitation by actively involving stakeholders and applying iterative design principles. Co-design in the Rehab-AMD solution proves to be a methodology that identifies usability issues and needs from the initial design stages. This approach ensures that software developers create a final product that is genuinely useful and manageable for people with AMD and the targeted vision rehabilitators.

Biophysical essentials – A full stack open-source software framework for conserved and advanced analysis of patch-clamp recordings

Background and ObjectivesPatch-Clamp recordings allow for in depth electrophysiological characterization of single cells, their general biophysical properties as well as characteristics of voltage- and ligand-gated ionic currents. Different acquisition modes, such as whole-cell patch-clamp recordings in the current or voltage clamp configuration, capacitance measurements or single channel recordings from cultured cells as well as acute brain slices are routinely performed for these purposes. Nevertheless, multipurpose transparent and adaptable software tools to perform reproducible state-of-the-art analysis of multiple experiment types and to manage larger sets of experimental data are currently unavailable. MethodsBiophysical Essentials (BPE) was developed as an open-source full stack python software for transparent and reproducible analysis of electrophysiological recordings. For validation, BPE results were compared with manually analyzed single-cell patch-clamp data acquired from a human in vitro nociceptor-model and mouse dorsal root ganglia neurons. ResultsWhile initially designed to improve time consuming and repetitive analysis steps, BPE was further optimized as a technical software solution for entire workflow processing including data acquisition, data preprocessing, normalization and visualization and of single recordings up to stacked calculations and statistics of multiple experiments. BPE can operate with different file formats from different amplifier systems and producers. An in-process database logs all analysis steps reproducible review and serves as a central storage point for recordings. Statistical testing as well as advanced analysis functions like Boltzmann-fitting and dimensional reduction methods further support the researchers' needs in projects involving electrophysiology techniques. ConclusionsBPE extends beyond available patch-clamp specific, open source – and commercial analysis tools in particular because of reproducible and sharable analysis workflows. BPE enables full analysis from raw data acquisition to publication ready result visualizations – all within one single program. Thereby, BPE significantly enhances transparency in the analytical process of patch-clamp data analysis. BPEs function scope is completely accessible through an easy-to-use graphical user interface eliminating the need for programing language proficiency as required by many community patch-clamp analysis frameworks and algorithms.

Incoming Inspection of Lithium‐Ion Batteries Based on Multi‐cell Testing

Incoming inspections of battery cells prior to module assembly help to ensure the quality of the battery system and prevent the installation of anomalous cells. Depending on the area of application, identifying deviations in the electrical behavior of the battery cells under test can be essential for downstream assembly processes like cell matching and algorithm adaptations of the battery management software. In this work, the use of a multi‐cell testing procedure involving differential voltage analysis, incremental capacity analysis, direct current internal resistance tests, and electrochemical impedance spectroscopy is investigated to reveal differences in cell properties and identify anomalous cells while economizing on the required cell test channels. The results obtained from 20 model‐identical 21700 cylindrical cells from four different batches demonstrate that this methodology can detect material variations, such as differing silicon and graphite content, which are not disclosed by the supplier or indicated in the data sheet. A teardown with elemental analysis of two cells from different batches is carried out as verification. Finally, prospects for potential application scenarios and raw measurement data are provided.

3D Echocardiographic Assesment of Left Ventricle Size and Function with Automated Adaptive Software in Patients with Right Heart Dominant

Introduction : Echocardiography is a fundamental tool for assessing cardiac chamber size and function, with evolving technologies like real-time three-dimensional echocardiography (3DE) and automated quantification software offering new possibilities. This study aims to validate left ventricular (LV) measurements obtained through automated quantification software against manual 3DE and 2D measurements, explore the relationship between these measurement techniques, and compare their reproducibility and analysis time. Methods : A total of 60 patients with uncorrected severe mitral stenosis (MS) and atrial septal defect (ASD) underwent echocardiography. Automated and manual 3DE measurements were compared, with subgroup analysis for software performance. Analysis times were also assessed. Results : The automated quantification software did not work in 16 patients, with notable differences in tricuspid regurgitation parameters. Automated 3DE measurements yielded larger LV volumes than manual 3DE measurements, while LV ejection fraction (LVEF) measurements were smaller. Good correlations were observed, but agreement analysis revealed significant differences between the two methods. The use of automated software significantly reduced analysis time. Conclusions : Automated quantification software can effectively measure LV parameters in patients with MS and ASD, significantly reducing analysis time. However, manual methods may still be necessary in cases with structural changes or unique anatomical conditions, emphasizing the importance of selecting the appropriate measurement technique for specific patient populations. Keywords: 3D Echocardiography, Automated Adaptive Software, Cardiac Imaging

An Intelligent Human–Machine Interface Architecture for Long-Term Remote Robot Handling in Fusion Reactor Environments

This paper addresses the intricate challenge posed by remote handling (RH) operations in facilities with operational lifespans surpassing 30 years. The extended RH task horizon necessitates a forward-looking strategy to accommodate the continuous evolution of RH equipment. Confronted with diverse and evolving hardware interfaces, a critical requirement emerges for a flexible and adaptive software architecture based on changing situations and past experiences. The paper explores the inherent challenges associated with sustaining and upgrading RH equipment within an extended operational context. In response to this challenge, a groundbreaking, flexible, and maintainable human–machine interface (HMI) architecture named MAMIC is designed, guaranteeing seamless integration with a diverse range of RH equipment developed over the years. Embracing a modular and extensible design, the MAMIC architecture facilitates the effortless incorporation of new equipment without compromising system integrity. Moreover, by adopting this approach, nuclear facilities can proactively steer the evolution of RH equipment, guaranteeing sustained performance and compliance throughout the extended operational lifecycle. The proposed adaptive architecture provides a scalable and future-proof solution, addressing the dynamic landscape of remote handling technology for decades.

PENGEMBANGAN MEDIA PEMBELAJARAN BILANGAN CACAH BERBASIS ANDORID UNTUK SISWA SD/MI DENGAN METODE ADAPTIVE SOFTWARE DEVELOPMENT

Development of Andorid-Based Learning Media on Whole Numbers for Elementary/MI Students Using the Adaptive Software Development Method, The purpose of this study is to develop an Android-based whole number learning media application for SD/MI using the Adaptive Software Development method. The development of this application is divided into 2 iterations. Functional testing method using black-box testing technique. From the results of black-box testing, it show that all features/functions run well and smoothly. The usability method is used to see user ratings of this learning media application. There are 3 aspects which are Learnability, Flexibility, and Effectiveness. The overall value of the usability test results is 78.82%. Based on the eligibility category, the value is included in the feasible category. So that this android-based whole number learning media application is feasible to implement.

INTERNATIONALIZATION OF SOFTWARE AND ITS LOCALIZATION INTO UKRAINIAN

The article explores the effects of the internationalization process on adapting software for the Ukrainian locale, emphasizing the linguistic, communicative, and socio-cultural challenges encountered by localizers and translators. It also discusses the strategies employed to address these challenges, considering the unique characteristics of the product and the production processes involved in adapting software for various markets. The study relies on the localized versions of software from Microsoft and Google, along with an examination of their style guides. The goal of the research is to assess the impact of internationalization on the adaptation of software for the Ukrainian audience by delineating strategies and identifying key localization issues. Comparative and contextual analysis methods are used to examine the original and localized versions of the software. The findings from the analysis of supporting documentation and Ukrainian localized products demonstrate that localization is a multifaceted process designed to adapt a product based on the interaction between differenlocales. The interaction properties humans and software to meet the specific requirements and characteristics of influence the architecture and textual elements of the software, as well as the sequence of operations necessary for adaptation to specific locales. Throughout the internationalization of software and the preparation of materials for further localization, certain elements are identified as vulnerable due to linguistic, communicative, and socio-cultural factors, which can present challenges during adaptation to local needs. The linguistic issues associated with Ukrainian localization stem from the specific alphabet system and grammatical features of the Ukrainian language. Communicative aspects determine the level of formality in the software's interaction with Ukrainian users. The socio-cultural characteristics of the Ukrainian locale are the most dynamic and, therefore, may not be fully encapsulated in localization guidelines. The analysis of the auxiliary documents provided to localizers illustrates the developers' commitment to delivering high-quality localized software to Ukrainian users. This commitment is achieved by identifying and addressing the linguistic, communicative, and socio-cultural elements that play a crucial role in successful localization.

From enterprise models to low-code applications: mapping DEMO to Mendix; illustrated in the social housing domain

Due to hyper-competition, technological advancements, regulatory changes, etc, the conditions under which enterprises need to thrive become increasingly turbulent. Consequently, enterprise agility increasingly determines an enterprise’s chances for success. As software development often is a limiting factor in achieving enterprise agility, enterprise agility and software adaptability become increasingly intertwined. As a consequence, decisions that regard flexibility should not be left to software developers alone. By taking a Model-driven Software Development (MDSD) approach, starting from DEMO ontological enterprise models and explicit (enterprise) implementation design decisions, the aim of this research is to bridge the gap from enterprise agility to software adaptability, in such a way that software development is no longer a limiting factor in achieving enterprise agility. Low-code technology is a growing market trend that builds on MDSD concepts and claims to offer a high degree of software adaptability. Therefore, as a first step to show the potential benefits to use DEMO ontological enterprise models as a base for MDSD, this research shows the design of a mapping from DEMO models to Mendix for the (automated) creation of a low-code application that also intrinsically accommodates run-time implementation design decisions.

Mobile Applications for Self-Handle of Pornography Addiction

Content with pornographic nuances in the form of images, sound, and videos is widely circulating on the internet, including on social media. Teenagers have great potential to become addicted to pornographic content given the widespread use of the internet among adolescents. Pornography addiction has the potential to interfere with the physical and mental development of addicts, even a wider impact can lead to criminal cases in society, such as rape. This paper discusses the development of mobile applications that aim to help pornographic content addicts get rid of pornography addiction problems. The applications developed include a system for assessing the level of exposure to pornographic content, handling and self-care of pornographic content, and a system for detecting the user's location in solitude. The rating system was adapted from the Pornography Addiction Screening Tool (PAST). Handling and self-care pornographic content use the psychological approach of Cognitive Behavioral Therapy (CBT) which has been widely researched and used as a method for mental treatment and healing. An assessment system for the level of exposure to pornographic content and self-care is presented in the application by utilizing chatbot to increase the interactive between the user and the application. The research method uses the Design Research Methodology (DRM) while the method in developing mobile applications uses Agile models as an adaptive software development method. This application is not intended to replace the role of psychologists, but as a supporting tool that can help pornography addicts to reduce their addiction level until they recover. Through black box testing, evaluation results from a functional perspective show that this application can be used as expected.

The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems

Autonomous systems, such as drones and rescue robots, are increasingly used during emergencies. They deliver services and provide situational awareness that facilitate emergency management and response. To do so, they need to interact and cooperate with humans in their environment. Human behaviour is uncertain and complex, so it can be difficult to reason about it formally. In this paper, we propose IDEA: an adaptive software architecture that enables cooperation between humans and autonomous systems, by leveraging in the social identity approach. This approach establishes that group membership drives human behaviour. Identity and group membership are crucial during emergencies, as they influence cooperation among survivors. IDEA systems infer the social identity of surrounding humans, thereby establishing their group membership. By reasoning about groups, we limit the number of cooperation strategies the system needs to explore. IDEA systems select a strategy from the equilibrium analysis of game-theoretic models, that represent interactions between group members and the IDEA system. We demonstrate our approach using a search-and-rescue scenario, in which an IDEA rescue robot optimises evacuation by collaborating with survivors. Using an empirically validated agent-based model, we show that the deployment of the IDEA system can reduce median evacuation time by \(13.6\% \) .

Experiential-sensorial adaptive system model for hospitality based on 360° VR videos and case-based reasoning.

In this work, an adaptive software architecture is proposed for the generation of experiences for hotel promotion and marketing, based on Case-based Reasoning (CBR) that uses the attributes and user characteristics and immersive 360° videos. Considering that immersion in virtual reality (VR) environments can trigger responses in various dimensions, such as affective, cognitive, attitudinal, and behavioral dimensions, these dimensions are evaluated in immersive environments with 360° videos. To validate the results obtained with the software architecture, a quasi-experimental study was conducted through the evaluation of the experience, consisting in the visualization of the environments of a boutique hotel, with a sample of a randomly selected group of young people. The contribution of this work lies in the use of 360° VR videos, for the visualization of the hotel characteristics and environments according the user profiles, to evaluate the affective, cognitive and attitudinal and behavioral responses and their influence on the booking intention and attitude. Finally, conclusions and recommendations for future work have been established.

The Role of object-oriented Programming in sustainable and Scalable Software Development

This study empirically evaluates how various practices and principles of object-oriented programming (OOP) impact the sustainability and scalability of software projects. A detailed analysis of real-world projects is carried out, considering aspects such as encapsulation, code reuse, modularity, and the application of inheritance and polymorphism. The goal was to identify patterns and best practices contributing to efficient and adaptable software development. The main results highlight that the adoption of OOP practices, such as encapsulation, code reuse, modularity, inheritance, and polymorphism, can be essential for efficient and adaptable software development over time, effectively addressing scalability and sustainability challenges in real-world projects.

Eco-Innovative Construction: Integrating Green Roofs Design within the BIM Framework

This research delves into the integration of green roofs elements and parameters with Building Information Modeling (BIM), a pivotal advancement in sustainable urban construction. Aligning with the United Nations Sustainable Development Goals, particularly Goal 11, this study explores how this integration can address global challenges like climate change and resource depletion. Using the Dynamo Visual Programming Language within Autodesk Revit, this research develops a computational modeling approach for green roofs, focusing on their thermal and structural characteristics under varied environmental conditions. Key findings demonstrate the significant influence of substrate and drainage material combinations on green roofs’ thermal performance, highlighting the need for tailored designs based on climatic conditions. This study also emphasizes the importance of considering structural performance in both dry and saturated conditions for overall building integrity. This research identifies gaps in current practices, such as limited focus on specific green roof materials and reliance on certain software tools, suggesting the need for broader material selection and software adaptability. Future research directions include expanding material selections, exploring diverse environmental conditions, and integrating green roofs elements and parameters with various BIM software platforms. This study’s implications extend to stakeholders in the construction industry, offering a framework for architects, urban planners, and policymakers to design and implement green roofs aligned with environmental goals. This work contributes to the field by proposing a novel approach to sustainable construction, integrating ecological design with digital technology, and setting a new benchmark in the integration of green roofs design with BIM. By addressing these aspects, this research paves the way for future developments in sustainable urban construction, enhancing the efficiency, sustainability, and resilience of urban communities in line with global sustainability objectives.

Phased Array Ultrasonic Method for Robotic Preload Measurement in Offshore Wind Turbine Bolted Connections.

This paper presents a novel approach for preload measurement of bolted connections, specifically tailored for offshore wind applications. The proposed method combines robotics, Phased Array Ultrasonic Testing (PAUT), nonlinear acoustoelasticity, and Finite Element Analysis (FEA). Acceptable defects, below a pre-defined size, are shown to have an impact on preload measurement, and therefore conducting simultaneous defect detection and preload measurement is discussed in this paper. The study demonstrates that even slight changes in the orientation of the ultrasonic transducer, the non-automated approach, can introduce a significant error of up to 140 MPa in bolt stress measurement and therefore a robotic approach is employed to achieve consistent and accurate measurements. Additionally, the study emphasises the significance of considering average preload for comparison with ultrasonic data, which is achieved through FEA simulations. The advantages of the proposed robotic PAUT method over single-element approaches are discussed, including the incorporation of nonlinearity, simultaneous defect detection and stress measurement, hardware and software adaptability, and notably, a substantial improvement in measurement accuracy. Based on the findings, the paper strongly recommends the adoption of the robotic PAUT approach for preload measurement, whilst acknowledging the required investment in hardware, software, and skilled personnel.

ОРГАНІЗАЦІЯ ОБЛІКУ І ЗВІТНОСТІ В ДЕРЖАВНИХ КОРПОРАЦІЯХ

The article examines the essence and role of state corporations in the national economy. It is multifaceted and varies depending on the economic, political and social conditions that have developed in the country. State corporations are a powerful tool for ensuring economic development, social stability and protection of national interests by stimulating economic development in strategically important industries, controlling the use of resources, investing in research and development, creating jobs and providing social services. The work examines the normative principles and defines the principles on which state corporations function. The effectiveness of public corporations largely depends on their governance, transparency and accountability to the public. Informational support for the efficiency and transparency of management is mainly formed in the accounting and reporting system. The organization of accounting and financial reporting in state corporations is carried out in accordance with the requirements of IFRS, which requires significant additional preparatory costs from the enterprise for the transitional transformational preparation of the accounting policy, revaluation and reclassification of assets and liabilities in accordance with IFRS, retraining of accounting personnel, software adaptation, etc. The article summarizes the accounting and methodological prerequisites for the rationalization of the process of drawing up financial statements according to international standards based on taxonomy. Special attention is paid to the organization of accounting procedures for both financial and non-financial reporting. The importance of the quality of information in reporting forms and the peculiarity of information in non-financial reporting are determined. The main regulatory and legal requirements regarding the forms of financial reporting and the grouping of information of integrated reporting are indicated. The importance of the taxonomy of financial statements and the main requirements for XBRL reporting are given. The interaction between interested parties and the quality of accounting information, which contribute to increasing trust in state corporations and the efficiency of their activities, are indicated.

Assessing Critical Adaptations in Automated Adaptive Software Systems by Stage Decomposition

Assessing Critical Adaptations in Automated Adaptive Software Systems by Stage Decomposition