Component-based Software Research Articles

Proposal and Validation of Usability Model for Component Based Software System

Proposal and Validation of Usability Model for Component Based Software System

Development of E-learning Software Based Multiplatform Components

E-learning software is a product of information and communication technology used to help dynamic and flexible learning process between teacher and student. The software technology was first used in the development of e-learning software in the form of web applications. The advantages of this technology because of the ease in the development, installation, and distribution of data. Along with advances in mobile/wireless electronics technology, e-learning software is adapted to this technology known as mobile learning. The ability of this electronic device is the same as a single computer even though it is simpler than a single computer. The problem that arises when e-learning software operates on multiple platforms is that computer programs are made repeatedly depending on the platform being used. This situation will obviously affect the quality of e-learning software. To overcome these problems, in this study developed component-based software that is a modern paradigm for software development that produces reusable software components, high quality, and cost-effective. In software development, software components will be assembled in the software in need. The result of this research is high quality e-learning software based multiplatform component.

CONVENTIONAL TO COMPONENT-BASED SOFTWARE: A CRITICAL SURVEY ON INTERACTION AND INTEGRATION COMPLEXITIES

There are various standard paradigms of software development including conventional, modular, object-oriented and component-based software engineering (CBSE). Interaction and integration complexities of various piece of code play a vital role in the overall behavior of software. As the code count increases the interaction level of software also increases as per the requirements of the software. In this paper we perform a critical literature survey on the works of eminent researchers and practitioners. In this work we analyze three paradigms of development, namely, conventional software, object-oriented software and component-based software (CBS). In this survey, we have considered three parameters of comparison: measures and metrics used, key findings, and factors affecting the interaction and integration behavior of software.

Understanding the nittygrities of software reliability and its testing procedures: A different approach

The development of software is a complicated task and involves a lot of deliberate elaboration on part of user as well as developer. The user must spell out the requirements in detail and feed all the required inputs to the developer to analyse the environmental conditions, HR restrictions, Exploitation and utility aspects of the software being asked for. For its reliability testing, the developer may choose the method and tools of his choice. It is required that due consideration be given to large number of factors to decide onto the reliability testing technique. These include calculating and documenting factors like ROCOF, MTTF, MTTR, MTBF, POFOD, Probability and Availability. The Software Reliability checking is an essential aspect which demands due deliberation and there are various Software Reliability Models that are in place worldwide. Software Reliability Modelling started initially with OOPS and later graduated to Component Based Software System (CBSS) for the sake of reusability and simplicity. Fuzzy logic being one of the CBSS approach, is discussed in detail. Fuzzy logic refers to the concept which is completely opposite of Boolean Logic of ‘0’ and ‘1’. Fuzzy logic suggests that there are infinite number of possibilities between ‘0’ and ‘1’. In this paper, the utility of Fuzzy logic for ensuring the safety and security aspects of various social networking sites has also been discussed in detail giving various examples.

Research on the Component-based Design Method of the Ground Measurement and Control System

Modern software systems are growing ever more complex, and the component-based software engineering (CBSE) is viewed as an opportunity to deal with the increasing complexity of measurement and control system. This paper analyzes the task profile of measurement and control system (GMCS) and discusses the component-based design methods. The paper submits a novel model called CV-MDN for software of GMCS that includes five parts: user controller, display views, domain model, data services and network service. The five parts provide cooperation method with software buses. Finally, the paper introduces the architecture of software design and it analyzes the software system functions. The CV-MDN model can be formed a general method for design of GMCS.

Innovative methods to make the component-based software development process more effective to produce quality software

Component-Based Software Engineering (CBSE) is a new technology used by the developers to decrease the percentage of software crisis or a procedure use to design and construction of component-based systems with the help of reusable software components according to the customer requirements. Researchers propose a CBSE process and to make this process more efficient and good in terms of quality, cost, time and risk. This study applied some methods on the development of Component-Based Software (CBS), which would be very helpful to provide the more optimal software components through CBSE. So the developer can easily develop good quality software, through which any software development organisation can produce quality component-based software’s and to make it possible this study are discussing some methods, and quality model here. This paper presents a modified optimal process to select a subset of components for specific application domain or optimal components with some good software quality model and methods with modification to increase the software quality, which fulfil the requirements of the stakeholders.

Designing of dynamic function for quality prediction of component-based software

Dynamic metrics must be designed and developed to measure size, complexity, quality and other factors of components in Component-Based Software Engineering (CBSE) because dynamic metrics affects the overall quality of Component-Based Software (CBS). In this paper new metric function is designed to measure the components execution dependency based on the some input parameters. These input parameters passed at the time of integration of components during the execution of the component based software In this paper, the relationship between component usage and functioning for a component is proposed. This paper describes the impact of the component interaction and focuses on the dynamic measurement of components in order to evaluate the performance in CBS. The aim of the paper is to improve the quality of component-based real-time applications dynamically.

Framework for estimating reliability of COTS component based upon Hierarchical Model for Reliability Estimation (HMRE)

Framework for estimating reliability of COTS component based upon Hierarchical Model for Reliability Estimation (HMRE)Component Based Software System (CBSS) is an emerging approach for building complex software. It is made up of COTS component which is build by third party. It creates independent and pre- defined components and then integrates these components according to customers need to make a new whole software system. There are so many available COTS component in the market. Reliability is one of the most important quality attribute of the software. The main task for developer or integrator is how to select the COTS component which is highly reliable. There is large number of criteria for estimating reliability which includes component usage ratio, reusability, application complexity, operational profile, component dependency. In this paper, these five criteria are reviewed and a new framework Hierarchical Model for Reliability Estimation (HMRE) is proposed. This model selects the reliability criteria and estimates the reliability of COTS component. The application of this framework is illustrated by an example.

Software Quality Estimation of Component Based Software System by Using Fuzzy MOORA Approach

Software Quality Estimation of Component Based Software System by Using Fuzzy MOORA Approach

Spiral model for component-based software development

Spiral model for component-based software development

Estimate reliability of component-based software sys-tem using modified neuro fuzzy model

There are many algorithms and techniques for estimating the reliability of Component Based Software Systems (CBSSs). Accurate esti-mation depends on two factors: component reliability and glue code reliability. Still much more research is expected to estimate reliability in a better way. A number of soft computing approaches for estimating CBSS reliability has been proposed. These techniques learnt from the past and capture existing patterns in data. In this paper, we proposed new model for estimating CBSS reliability known as Modified Neuro Fuzzy Inference System (MNFIS). This model is based on four factors Reusability, Operational, Component dependency, Fault Density. We analyze the proposed model for diffent data sets and also compare its performance with that of plain Fuzzy Inference System. Our experimental results show that, the proposed model gives better reliability as compare to FIS.

Component-based Software Safety Assessment Method

Along with the thought of component based software development and with the software has been widely employed in safety-critical systems; an effective early evaluation of the software on the safety property of a safety-critical system is needed for the system which is developed by the component based software development. The safety of software mainly depends on the early stage of the system design, rather than after the implementation of the software. Software architecture is always designed at the early stage of development of a system, which involves the basic and significant information for safety analysis. In order to solve the problem faced by safety prediction and analysis for large-scale complex software system, in this paper we propose for safety degree assessment based on the component-based software architecture by using fuzzy mathematics. Based on the system architecture safety analysis and the architecture analysis, the safety prediction of one single component can be gain. With a consideration for the architecture dynamic behavior, a connection between the safety prediction for a software system and the dynamic behavior of the ones is made in our approach, which can guidance to software safety design effectively.

A Methodology for Obtaining Complexity of Component-Based Software

A Methodology for Obtaining Complexity of Component-Based Software

Reliability assessment of component based software systems using fuzzy and ANFIS techniques

Software reliability is one of the most commonly discussed research issue in the field of software engineering. In this paper we evaluate the reliability of component based software using Adaptive Neuro-Fuzzy inference system. The proposed model considers the factors particular to component based software that affects its reliability. The hybrid neural network used in ANFIS is trained using the data set obtained from a survey. This neural network in turn guides the rule base of the fuzzy inference system. Our ANFIS model is validated against the data obtained from survey of various existing component based software designs. An evaluation model based on Mamdani fuzzy inference system is also proposed. The performance analysis of ANFIS model is done by comparing its accuracy in determining correct outputs with that of the FIS model. The ANFIS model is optimized to obtain evaluation near to the empirical results. Experimental results show that ANFIS based evaluation model performs better than the corresponding FIS model.

A genetic algorithm-based approach for automated refactoring of component-based software

Context: During its lifecycle, a software system undergoes repeated modifications to quickly fulfill new requirements, but its underlying design is not properly adjusted after each update. This leads to the emergence of bad smells. Refactoring provides a de facto behavior-preserving approach to eliminate these anomalies. However, manually determining and performing useful refactorings is a formidable challenge, as stated in the literature. Therefore, framing object-oriented automated refactoring as a search-based technique has been proposed. However, the literature shows that search-based refactoring of component-based software has not yet received proper attention.Objective: This paper presents a genetic algorithm-based approach for the automated refactoring of component-based software. This approach consists of detecting component-relevant bad smells and eliminating these bad smells by searching for the best sequence of refactorings using a genetic algorithm.Method: Our approach consists of four steps. The first step includes studying the literature related to component-relevant bad smells and formulating bad smell detection rules. The second step involves proposing a catalog of component-relevant refactorings. The third step consists of constructing a source code model by extracting facts from the source code of a component-based software. The final step seeks to identify the best sequence of refactorings to apply to reduce the presence of bad smells in the source code model using a genetic algorithm. The latter uses bad smell detection rules as a fitness function and the catalog of refactorings as a means to explore the search space.Results: As a case study, we conducted experiments on an unbiased set of four real-world component-based applications. The results indicate that our approach is able to efficiently reduce the total number of bad smells by more than one half, which is an acceptable value compared to the recent literature. Moreover, we determined that our approach is also accurate in refactoring only components suffering from bad smells while leaving the remaining components untouched whenever possible. Furthermore, a statistical analysis shows that our genetic algorithm outperforms random search and local search in terms of efficiency and accuracy on almost all the systems investigated in this work.Conclusion: This paper presents a search-based approach for the automated refactoring of component-based software. To the best of our knowledge, our approach is the first to focus on component-based refactoring, whereas the state-of-the-art approaches focus only on object-oriented refactoring.

Implementation and Evaluation of a Component-Based framework for Internet Applications

In previous publications we have introduced the concept of using a component-based software engineering paradigm to build Internet-enabled applications. We have proposed that this design allows for greater flexibility in deployment, better utilisation of resources and a reduction in total application development effort. We have described a system and realised that system as an API that can be used to design, build and execute such components. In this report we provide an overview of the key system components and present an implementation of an application developed using the system. We use this application to perform experimental and functional comparisons to show that the system provides advancements over the status quo.

Editorial to theme issue on model-driven engineering of component-based software systems

This theme issue aims at providing a forum for disseminating latest trends in the use and combination of model-driven engineering (MDE) and component-based software engineering (CBSE). One of the main aims of MDE is to increase productivity in the development of complex systems, while reducing the time to market. Regarding CBSE, one of the main goals is to deliver and then support the exploitation of reusable “off-the-shelf” software components to be incorporated into larger applications. An effective interplay of MDE and CBSE can bring benefits to both communities: on the one hand, the CBSE community would benefit from implementation and automation capabilities of MDE, and on the other hand, MDE would benefit from the foundational nature of CBSE. In total, we received 23 submissions to this theme issue, and each submission was reviewed by at least three reviewers. Thanks to the high quality of the submissions that we received, we could eventually accept six papers for publication.

Architecting resilient computing systems: A component-based approach for adaptive fault tolerance

Evolution of systems during their operational life is mandatory and both updates and upgrades should not impair their dependability properties. Dependable systems must evolve to accommodate changes, such as new threats and undesirable events, application updates or variations in available resources. A system that remains dependable when facing changes is called resilient. In this paper, we present an innovative approach taking advantage of component-based software engineering technologies for tackling the on-line adaptation of fault tolerance mechanisms. We propose a development process that relies on two key factors: designing fault tolerance mechanisms for adaptation and leveraging a reflective component-based middleware enabling fine-grained control and modification of the software architecture at runtime. We thoroughly describe the methodology, the development of adaptive fault tolerance mechanisms and evaluate the approach in terms of performance and agility.

New mathematical model for software quality prediction of component-based software using shuffled frog-leaping algorithm

Customer satisfaction and profit making are the two motives that define software quality; therefore, software industry uses new technologies like component-based software engineering, re-engineering, etc., to make their software production more profitable. The proposed mathematical model is executed under ISO/IEC 9126 quality assurance model and justifies the definition of software quality given by IEEE 1061(1998). The model calculates the degree of stakeholder satisfaction (Q) by combining the quality attributes and it is validated using Shuffled Frog-Leaping Algorithm (SFLA) which improved the result by 2.46%.

New mathematical model for software quality prediction of component-based software using shuffled frog-leaping algorithm

Customer satisfaction and profit making are the two motives that define software quality; therefore, software industry uses new technologies like component-based software engineering, re-engineering, etc., to make their software production more profitable. The proposed mathematical model is executed under ISO/IEC 9126 quality assurance model and justifies the definition of software quality given by IEEE 1061(1998). The model calculates the degree of stakeholder satisfaction (Q) by combining the quality attributes and it is validated using Shuffled Frog-Leaping Algorithm (SFLA) which improved the result by 2.46%.