Optimized Realization of Software Components with Flexible OpenCL Functionality

In these days most of the software development uses preexisting software components. This approach provides plenty of benefits over the traditional development. Most of the software industries uses their own domain based software libraries where components resides in the form of modules, codes, executable file, documentations, test plans which may be used as it is or with minor changes. Due to shrinking time and high demand of software development it is necessary to use pre tested software components to ensure high functionality in software developed. Software components can be used very easily and without having the worries of errors and bugs because these are developed under expert supervision and well tested. What we have to do is just embed these components in our project. In this paper a survey got conducted over 112 software developer,testers and freelancers. In survey several issues in CBSD were identified. An efficient repository along with a component search engine is developed. All the component retrieval techniques were evaluated and compared with precise and recall method.

Download Full-text

Framework for Semantic Search Enabled Software Component Repository (SSESCR)

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit183883 ◽

2018 ◽

Author(s):

Vishnu Sharma ◽

Vijay Singh Rathore ◽

Chandikaditya Kumawat

Keyword(s):

Software Quality ◽

Software Reuse ◽

Development Time ◽

Software Component ◽

Semantic Search ◽

Easy Access ◽

Software Components ◽

Efficient Search ◽

Systematic Reuse ◽

New System

Software reuse can improve software quality with the reducing cost and development time. Systematic reuse plan enhances cohesion and reduces coupling for better testability and maintainability. Software reuse approach can be adopted at the highest extent if relevant software components can be easily searched, adapted and integrated into new system. Large software industries hold their own well managed component libraries containing well tested software component with the project category based classification .Access to these repositories are very limited. Software reuse is facing so many problems and still not so popular. This is due to issues of general access, efficient search and adoption of software component. This paper propose a framework which resolves all of the above issues with providing easy access to components, efficient incremental semantics based search, repository management, versioning of components.

Download Full-text

Reliability of Component Based Software with Similar Software Components � a Review

i-manager’s Journal on Software Engineering ◽

10.26634/jse.5.2.1335 ◽

2010 ◽

Vol 5 (2) ◽

pp. 44-49 ◽

Cited By ~ 3

Author(s):

R. Chinnaiyan S ◽

Somasundaram .

Keyword(s):

Software Components

Download Full-text

Introducing Software Components to Road Traffic Modeling and Simulation

SNE Simulation Notes Europe ◽

10.11128/sne.21.tn.10041 ◽

2011 ◽

Vol 21 (1) ◽

pp. 21-26

Author(s):

Petr Zelenka

Keyword(s):

Modeling And Simulation ◽

Road Traffic ◽

Traffic Modeling ◽

Software Components

Download Full-text

Reusable software components

ACM SIGAda Ada Letters ◽

10.1145/570326.570328 ◽

2002 ◽

Vol XXII (3) ◽

pp. 20-23

Author(s):

Trudy Levine

Keyword(s):

Software Components ◽

Reusable Software

Download Full-text

Reusable software components

ACM SIGAda Ada Letters ◽

10.1145/156345.156347 ◽

1993 ◽

Vol XIII (1) ◽

pp. 60-62

Author(s):

Trudy Levine

Keyword(s):

Software Components ◽

Reusable Software

Download Full-text

Measuring Software Maintainability with Naïve Bayes Classifier

Entropy ◽

10.3390/e23020136 ◽

2021 ◽

Vol 23 (2) ◽

pp. 136

Author(s):

Nayyar Iqbal ◽

Jun Sang ◽

Jing Chen ◽

Xiaofeng Xia

Keyword(s):

Business Processes ◽

Naive Bayes ◽

Naïve Bayes ◽

Business Value ◽

Software Components ◽

Naive Bayes Classifier ◽

Bayes Classifier ◽

Naïve Bayes Classifier ◽

Error Type ◽

Software Maintainability

Software products in the market are changing due to changes in business processes, technology, or new requirements from the customers. Maintainability of legacy systems has always been an inspiring task for the software companies. In order to determine whether the software requires maintainability by reverse engineering or by forward engineering approach, a system assessment was done from diverse perspectives: quality, business value, type of errors, etc. In this research, the changes required in the existing software components of the legacy system were identified using a supervised learning approach. New interfaces for the software components were redesigned according to the new requirements and/or type of errors. Software maintainability was measured by applying a machine learning technique, i.e., Naïve Bayes classifier. The dataset was designed based on the observations such as component state, successful or error type in the component, line of code of error that exists in the component, component business value, and changes required for the component or not. The results generated by the Waikato Environment for Knowledge Analysis (WEKA) software confirm the effectiveness of the introduced methodology with an accuracy of 97.18%.

Download Full-text