Trend In Software Engineering Research Articles

The Role of Artificial Intelligence in Modern Software Engineering

Abstract. The rapid advancement of Artificial Intelligence (AI) has significantly influenced various industries, including software engineering. This paper explores the integration of AI into software engineering, focusing on its applications across different stages of the software development life cycle, including design, development, testing, project management, and maintenance. AI's ability to automate tasks, enhance efficiency, and improve code quality is revolutionizing how software is built and maintained. The paper also addresses the challenges and risks associated with AI-driven software engineering, such as dependency on AI tools, ethical concerns, and security vulnerabilities. Finally, the paper highlights future trends in AI-powered software engineering, including adaptive and self-healing systems, AI-enhanced collaboration, and full software automation. The role of AI in shaping the future of software engineering is both profound and transformative, making it a critical area of study.

Variations and Emerging Trends in Software Engineering

Variations and Emerging Trends in Software Engineering

Tools, techniques, and trends in sustainable software engineering: A critical review of current practices and future directions

The quest for sustainability has extended its reach into the realm of software engineering, prompting an exploration of tools, techniques, and emerging trends to mitigate the environmental impact of software development and operation. This review provides a critical review of current practices and future directions in sustainable software engineering. In recent years, the software industry has recognized the need to address the environmental footprint of software systems, considering factors such as energy consumption, resource utilization, and carbon emissions. Consequently, a plethora of tools and techniques have emerged to support sustainable software development processes. These range from energy-efficient programming languages and frameworks to eco-friendly software architectures and design patterns. Moreover, methodologies such as Green Software Engineering (GSE) and Sustainable Software Development (SSD) have gained traction, emphasizing the integration of sustainability considerations throughout the software development lifecycle. By adopting practices like green requirements engineering, energy-aware testing, and eco-design principles, organizations can optimize their software systems for reduced environmental impact without compromising functionality or performance. Furthermore, trends in sustainable software engineering extend beyond traditional development practices. The rise of cloud computing, edge computing, and Internet of Things (IoT) technologies presents both challenges and opportunities for sustainability. Techniques such as serverless computing and containerization offer potential benefits in terms of resource efficiency and scalability, while also introducing new considerations regarding data center energy consumption and electronic waste management. Looking ahead, the future of sustainable software engineering is marked by innovation and collaboration. Emerging technologies such as artificial intelligence (AI) and blockchain hold promise for optimizing resource allocation, enhancing energy efficiency, and fostering transparency in sustainability efforts. Additionally, interdisciplinary collaboration between software engineers, environmental scientists, and policymakers will be essential in shaping a more sustainable digital ecosystem. The journey towards sustainable software engineering involves a multifaceted approach encompassing tools, techniques, and ongoing adaptation to evolving trends. By critically evaluating current practices and embracing future directions, the software industry can contribute to a more environmentally responsible and resilient future.

Trending Topics in Software Engineering

Software Engineering (SE) is evolving to make the best out of the constantly changing technological trends, ranging from development to deployment to management and decommissioning of software systems. In this new column Trending Topics in Software Engineering, we aim at providing insights, reports, and outlooks on how researchers and practitioners around the world are working (or planning to work) on those trends. We intend to collect the challenges they are facing or foresee, and explore them in future issues. Our ultimate ambition is to stimulate fruitful discussion in our columns to contribute to identifying the next SE trends, while illustrating them to our audience.

Post golden jubilee year of the software journal: New research trends and strengthening advisory editorial team

Continuing our journey after the golden jubilee year of Journal of Software: Practice and Experience (SPE), this January 2022 issue focuses on new trends in computer science and software engineering. There are several emerging trends in the computer science, and software development landscape is growing by venturing into and adapting new technologies. Blockchains are being used in different domains for ensuring data security and retaining data provenance. Machine learning is extensively being used in different domains for solving relevant problems; software innovation is no exception. Continuous integration is driving the software development process in the industry. The Internet of Things (IoT) and real-time applications are becoming ubiquitous and are going green. Quantum computing is catching significant attention and first simulators and experimental testbeds are being provided, for the community to venture into the domain. It is time that SPE also looks into the ongoing developments and brings forth the practice and experience of the research community. Going by the motto, this issue starts with a research paper that dealt with blockchains for protecting data confidentiality and traceability. The issue has several research papers related to software engineering such as acquiring cross-domain requirements, just-in-time defect prediction, and benchmarking garbage collection delays. The issue also has papers relevant to cloud computing and wireless sensor networks, with specific focus at energy efficiency. Several of these research works have applied machine learning for achieving relevant research goals. The issue also has a paper that summarizes the state-of-the-art in software effort estimation using machine learning techniques. The issue concludes with a systematic review of quantum computing along with discussion on future research directions. The new EAB members include both established and emerging researchers who have a good track record and are associated with SPE in several ways including publishing their own high-quality research papers and/or organizing special issues on emerging topics. They are drawn from all over the world recognizing growing submissions for SPE from all regions. We request EAB, authors, reviewers, and readers for their continued support in sustaining SPE as the premier forum for publishing new software research and innovation along with practice and experience focus. Your feedback and comments on further improving SPE are highly appreciated.

Software engineering and 12 prominent sub‐areas: Comprehensive bibliometric assessment on 13 years (2007–2019)

Software Engineering (SE) as a field has grown significantly in terms of the research publications in the last few years. Criterion-based assessment of research performance of scholars, countries along with collaboration networks and links among articles are better judged using bibliometric analysis. The results proposed in this work are based on quantitative analysis and data visualisation of 150,087 scholarly articles published in last 13 years (2007–2019) across 85 research areas based on seven categories by providing a detailed and distinctive time-frame-based comparison to observe a shift in research trend in SE and its 12 distinguished sub-areas. The results of the observations proposed in this work include analysis on types of documents, yearly publication trends with results suggesting a prominent increment for the period (2015–2017) in terms of research publications, languages of research publications with findings indicating that there are articles published in languages other than English language, also, publication count-based rankings of authors, collaboration networks of countries with findings showing the supremacy of USA and China and keyword statistics.

The future of software engineering: Visions of 2025 and beyond

<p>In the current technological scenario of the industry and businesses, there has been increasing need of software within systems and also an increasing demand being put onto software-intensive systems. This in effect will lead to a significant evolution of software engineering processes over the next twenty years. This is due to the fact of emerging technological advancements like Industry 4.0 and Internet of Things in the IT field, among other new developments. This paper addresses and tries to analyses the key research challenges being faced by the software engineering field and articulates information that is derived from the key research specializations within software engineering. The paper analyses the past and current trends in software engineering. The future of software engineering is also looked with respect to Industry 4.0 which including emerging technological platforms like Internet of Things. The societal impact aspect of future trends in software engineering is also addressed in this paper.</p>

Software engineering and advanced applications conference 2019 – selected papers

Software Engineering and Advanced Applications (SEAA) is a long-standing international forum for researchers, practitioners, and students to present and discuss the latest innovations, trends, experiences, and concerns in the field of Software Engineering and Advanced Applications in information technology for software-intensive systems. In this special issue, we present a selection of papers which show the current trends in software engineering – improved systematic reviews, deep learning and cloud computing.

Exploring the intersection between software industry and Software Engineering education - A systematic mapping of Software Engineering Trends

Context:Software has become ubiquitous in every corner of modern societies. During the last five decades, software engineering has also changed significantly to advance the development of various types and scales of software products. In this context, Software Engineering Education plays an important role in keeping students updated with software technologies, processes, and practices that are popular in industries. Objective:We investigate from literature the extent Software Engineering Education addresses major Software Engineering Trends in the academic setting. Method:We conducted a systematic mapping study about teaching major Software Engineering Trends in project courses. We classified 126 papers based on their investigated Software Engineering Trends, specifically Software Engineering processes and practices, teaching approaches, and the evolution of Software Engineering Trends over time. Results:We reveal that Agile Software Development is the major trend. The other Trends, i.e., Software Implementation, Usability and Value, Global Software Engineering, and Lean Software Startup, are relatively small in the academic setting, but continuously growing in the last five years. System of Systems is the least investigated among all Trends. Conclusions:The study points out the possible gaps between Software Industry and Education, which implies actionable insights for researchers, educators, and practitioners.

RESEARCH TRENDS IN SOFTWARE ENGINEERING FIELD: A LITERATURE REVIEW

Software engineering is one of computer science branches, it comprises of building and developing software systems and applications. Software engineering is a discipline that has a constant growth in research in aim to identify new technologies and adopt it in different areas; there is a considerable investment on software engineering trends at the current time due to the availability of mobile technologies. With millions of billions of smart devices that are connected to the internet, all industries around the world are rapidly becoming a technology driven industries. Software engineers are aware of programming languages that are employed to develop software systems, by applying engineering principles to development process; they can design customized software systems for individual or organizational customers. The new trends in software engineering are numerous, Cloud Computing, machine learning, deep learning, big Data, mobile Computing. Nevertheless, there are many more other research trends in software engineering's field that have been intensively explored and implemented in many different industries. In this paper, authors try to summarize the most fields that are integrated with software engineering recently.

RESEARCH TRENDS IN SOFTWARE ENGINEERING FIELD: A LITERATURE REVIEW

Software engineering is one of computer science branches, it comprises of building and developing software systems and applications. Software engineering is a discipline that has a constant growth in research in aim to identify new technologies and adopt it in different areas; there is a considerable investment on software engineering trends at the current time due to the availability of mobile technologies. With millions of billions of smart devices that are connected to the internet, all industries around the world are rapidly becoming a technology driven industries.
 Software engineers are aware of programming languages that are employed to develop software systems, by applying engineering principles to development process; they can design customized software systems for individual or organizational customers. The new trends in software engineering are numerous, Cloud Computing, machine learning, deep learning, big Data, mobile Computing. Nevertheless, there are many more other research trends in software engineering's field that have been intensively explored and implemented in many different industries. In this paper, authors try to summarize the most fields that are integrated with software engineering recently.

Requirements modeling of Web services-based business processes

PurposeThis paper reviews existing business process (BP) modeling languages that are widely used in the industry as well as recent research work on modeling and analysis of BPs in the service-oriented environment and Internetware-based software paradigm. BPs in such environment are different from traditional BPs due to loose coupling of partner services, dynamic and on-the-fly selection of partners and run-time process adaptability. The unique characteristics of these BPs require formal modeling of the requirements and constraints in each phase of their life cycle, including design phase, implementation and deployment phase and execution phase.Design/methodology/approachThe paper first provides a categorization of typical user requirements in each phase of the BP life cycle. Then a detailed comparison of the selected languages with respect to their requirement modeling and analysis capabilities in each of the identified categories is provided. The paper also discusses new requirements engineering research challenges arising from future software needs and emerging trends in software engineering in the context of Web-services-based BPs and Internetware.FindingsThere is a need to have a framework that provides support for user requirements modeling and analysis for all the phases of BP life cycle in an integrated manner. Such a framework would be useful not only in resolving the inconsistencies between requirements across phases but also in addressing the issues related to BP evolution due to changes in user requirements over time. Moreover, with the Internet of things (IoT) adoption in BPM, there is a need to have an integrated environment that provides support for capturing the resilience requirements of enterprise BPs as well as the mobility constraints of the underlying IoT devices.Originality/valueThis paper reviews existing BP modeling languages and frameworks and discusses the new requirements engineering research challenges arising from future software needs and the emerging trends in BP management in the service-oriented environment and Internetware-based software paradigm.

Trends in Software Engineering in 2020

Trends in Software Engineering in 2020

Software Qualities and their Dependencies Report on two editions of the workshop

New trends in software engineering recently emerged to cope with even more complex systems which in turns highlight problems software shortfalls and defects. The SQUADE (Software QUAlities and their DEpendencies) workshop focuses on increasing the understanding of the nature of Software Qualities (SQs), i.e., nonfunctional properties or extra-functional requirements (e.g., reliability, security, maintainability, etc.), and their interrelationships with the aim of bringing them into practice of software engineering. The topic is highly relevant due to the current trend of designing and developing software-intensive systems with larger complexity, increased autonomy, higher speed of changes, and growing need for interoperability within systems of systems. Unfortunately, this new trend comes with more software shortfalls and defects, which are widely and publicly spread. The primary goal of the workshop is to bring together researchers and practitioners to build more solid foundations when dealing with software qualities.

Towards cloud-native simulations – lessons learned from the front-line of cloud computing

Cloud computing can be a game-changer for computationally intensive tasks like simulations. The computational power of Amazon, Google, or Microsoft is even available to a single researcher. However, the pay-as-you-go cost model of cloud computing influences how cloud-native systems are being built. We transfer these insights to the simulation domain. The major contributions of this paper are twofold: (A) we propose a cloud-native simulation stack and (B) derive expectable software engineering trends for cloud-native simulation services. Our insights are based on systematic mapping studies on cloud-native applications, a review of cloud standards, action research activities with cloud engineering practitioners, and corresponding software prototyping activities. Two major trends have dominated cloud computing over the last 10 years. The size of deployment units has been minimized and corresponding architectural styles prefer more fine-grained service decompositions of independently deployable and horizontally scalable services. We forecast similar trends for cloud-native simulation architectures. These similar trends should make cloud-native simulation services more microservice-like, which are composable but just “simulate one thing well.” However, merely transferring existing simulation models to the cloud can result in significantly higher costs. One critical insight of our (and other) research is that cloud-native systems should follow cloud-native architecture principles to leverage the most out of the pay-as-you-go cost model.

Looking at performance metrics and scalability challenges in the context of microservices: a survey

The use of microservices is a new trend in software engineering, dividing an application into several services. This concept allows programmers to write each microservice code using the better language and framework they know. We perceive that research on microservices aims mainly at composability, portability, and interface, leaving uncovered in surveys relevant quality concerns. Therefore, this article reports a survey focused on providing classification and analysis of studies on evaluating and improving performance in microservice-based applications. Our contributions are threefold: 1) an in-depth analysis of state of the art on microservices through the lens of performance; 2) a novel taxonomy to reclassify the current microservice initiatives, looking at software and hardware aspects that interfere in the execution of the application; 3) an analysis of trends and open research opportunities in the joint combination of performance and scalability applied to microservices. The article supports developers and organisations in defining standards, strategies, and technologies to model and code microservices applications by presenting practical and theoretical issues.

Looking at performance metrics and scalability challenges in the context of microservices: a survey

The use of microservices is a new trend in software engineering, dividing an application into several services. This concept allows programmers to write each microservice code using the better language and framework they know. We perceive that research on microservices aims mainly at composability, portability, and interface, leaving uncovered in surveys relevant quality concerns. Therefore, this article reports a survey focused on providing classification and analysis of studies on evaluating and improving performance in microservice-based applications. Our contributions are threefold: 1) an in-depth analysis of state of the art on microservices through the lens of performance; 2) a novel taxonomy to reclassify the current microservice initiatives, looking at software and hardware aspects that interfere in the execution of the application; 3) an analysis of trends and open research opportunities in the joint combination of performance and scalability applied to microservices. The article supports developers and organisations in defining standards, strategies, and technologies to model and code microservices applications by presenting practical and theoretical issues.

Workshop Summary

The second Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB 2019) intends to pursue the experience of WETSEB 2018 which inherited from the past eight editions of WETSoM (Workshop on Emerging Trends on Software Metrics) the challenges of gathering together researchers interested in emerging topics and trends in software engineering. WETSEB 2018 marked a transition in the workshop interest from the software metrics to the newly emerging fields of research in a software technology whose powerful wide-spreading is disruptively invading academy, industry, finance and media: the Blockchain software technology. Motivations for this workshop are augmented since last edition given the clear outstanding interest in software communities, in the academy, in the industry, in the finance and in the media on the new emerging software technology of the Blockchain witnessed by the larger and larger amount of publications, of start-ups and companies which last year exploited this new technology. We first outline the aims of the workshop, followed by a discussion of its keynote speech and technical program.

Five Predictions for the Coming Decades of Software

To help celebrate software engineering’s 50th anniversary, department editor Mik Kersten considers how software engineering will evolve over the coming 50 years. His five predictions aren’t intended to be precise; they aim to provide discussion topics for the shape of software engineering trends to come. This article is part of a theme issue on software engineering’s 50th anniversary.

Threat analysis of software systems: A systematic literature review

Architectural threat analysis has become an important cornerstone for organizations concerned with developing secure software. Due to the large number of existing techniques it is becoming more challenging for practitioners to select an appropriate threat analysis technique. Therefore, we conducted a systematic literature review (SLR) of the existing techniques for threat analysis. In our study we compare 26 methodologies for what concerns their applicability, characteristics of the required input for analysis, characteristics of analysis procedure, characteristics of analysis outcomes and ease of adoption. We also provide insight into the obstacles for adopting the existing approaches and discuss the current state of their adoption in software engineering trends (e.g. Agile, DevOps, etc.). As a summary of our findings we have observed that: the analysis procedure is not precisely defined, there is a lack of quality assurance of analysis outcomes and tool support and validation are limited.