Object oriented programming accuracy prediction using unbiased iteration particle swarm optimization (UIPSO)

Authors

  • Dubey K TIT Advance, Bhopal, India
  • Sharma V TIT Advance, Bhopal, India

Keywords:

Chi-Square Test, FM, PO, OR, UIPSO

Abstract

In this paper an object oriented programing accuracy prediction system has been proposed based on unbiased iteration particle swarm optimization (UIPSO). First the object oriented modules have been uploaded in the framework then it is categorized in different k-modules. According to the user choice it is selected. The selected module is then tested by chisquare test and if qualifies then checked by software quality metrics like FM, OR and P. Finally the accuracy is calculated based on UIPSO. The obtained results show that the results are outperforms from the previous method in terms of accuracy and error rates.

References

Briand LC, Wüst J, Daly JW, Porter DV. Exploring the relationships between design measures and software quality in object-oriented

systems. Journal of systems and software. 2000 May 1; 51(3):245-73.

Kaur I, Kaur A. Empirical study of software quality estimation. In Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology 2012 Oct 26 (pp. 694-700). ACM.

Alotaibi MB. Antecedents of software-as-aservice (SaaS) adoption: a structural equation model. International Journal of Advanced

Computer Research. 2016 Jul 1;6(25):114.

Reformat M, Pedrycz W, Pizzi NJ. Software quality analysis with the use of computational intelligence. Information and Software Technology. 2003 May 1;45(7):405-17.

Baz A. Efficient data analysis approaches to enhance the quality of customer service in Saudi Government sector. International Journal of Advanced Computer Research. 2016 Jan 1;6(22):25.

Rashid E, Patnaik S, Bhattacherjee V. Software quality estimation using machine learning: CaseBased reasoning technique. International Journal of Computer Applications. 2012 Jan 1; 58(14).

Acharya, Anal, and Devadatta Sinha. "Assessing the Quality of M-Learning Systems using ISO/IEC 25010." International Journal of

Advanced Computer Research 3.3 (2013): 67.

Tashtoush Y, Al-Maolegi M, Arkok B. The correlation among software complexity metrics with case study. arXiv preprint arXiv:1408.4523. 2014 Aug 20.

Dileep MR. An Effective Approach for Indexed Data Access based on Linear Search Technique Using Reference Key Algorithm. International Journal of Advanced Technology and Engineering Exploration. 2015 Apr 1; 2(5):49.

Kanmani S, Uthariaraj VR, Sankaranarayanan V, Thambidurai P. Object-oriented software fault prediction using neural networks. Information and software technology. 2007 May 31; 49(5):483-92.

Sodiya AS, Aborisade DO, Ikuomola AJ. A survivability model for object-oriented software systems. In Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on 2012 Nov 21 (pp. 283-290). IEEE.

Dantas F, Garcia A, Whittle J. On the role of composition code properties on evolving programs. In Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement 2012 Sep 19 (pp. 291-300). ACM.

Saraiva J. A roadmap for software maintainability measurement. In Proceedings of the 2013 International Conference on Software Engineering 2013 May 18 (pp.1453-1455). IEEE Press.

Sharma R, Sabharwal S, Nagpal S. Empirical analysis of object oriented metrics using dimensionality reduction techniques. In Recent Advances and Innovations in Engineering (ICRAIE), 2014 2014 May 9 (pp. 1-5). IEEE.

Singh NB, Alsadoon A, Prasad PW, Singh AK, Shrestha AK. Impact of shared attributes and methods in calculation of object-oriented

inheritance metrics. In Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2014 2nd International Conference on 2014 Dec 26 (pp. 1-7). IEEE.

Padhy N, Panigrahi R, Baboo S. A Systematic Literature Review of an Object Oriented Metric: Reusability. In Computational Intelligence and Networks (CINE), 2015 International Conference on 2015 Jan 12 (pp. 190-191). IEEE.

Beniwal R. Analysis of Testing Metrics for Object Oriented Applications. In Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on 2015 Feb 13 (pp. 41-46). IEEE.

Zhabelova G, Vyatkin V. Towards software metrics for evaluating quality of IEC 61499 automation software. In Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on 2015 Sep 8 (pp. 1-8). IEEE.

De Silva DI, Kodagoda N, Kodituwakku SR, Pinidiyaarachchi AJ. Limitations of an object-oriented metric: Weighted complexity measure. In Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on 2015 Sep 23 (pp. 698-701). IEEE.

Suri B, Singhal S. Investigating the OO characteristics of software using CKJM metrics. In Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions), 2015 4th International Conference on 2015 Sep 2 (pp. 1-6). IEEE.

Pawade D, Dave DJ, Kamath A. Exploring software complexity metric from procedure oriented to object oriented. In Cloud System

and Big Data Engineering (Confluence), 2016 6th International Conference 2016 Jan 14 (pp. 630-634). IEEE.

Abilio R, Vale G, Figueiredo E, Costa H. Metrics for feature-oriented programming. In Emerging Trends in Software Metrics (WETSoM), 2016 IEEE/ACM 7th International Workshop on 2016 May 15 (pp. 36-42). IEEE.

Mekruksavanich S. An adaptive approach for automatic design defects detection in objectoriented systems. In Digital Arts, Media and Technology (ICDAMT), International Conference on 2017 Mar 1 (pp. 342-346). IEEE.

Li K, Gao Y. Fuzzy clustering with the generalized entropy of feature weights. International Journal of Advanced Computer Research. 2016; 6(27):195.

Mareli M, Twala B. Global optimisation using Pareto cuckoo search algorithm. International Journal of Advanced Computer Research. 2017; 7(32):164-75.

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Published

2024-02-26

How to Cite

Dubey, K., & Sharma, V. (2024). Object oriented programming accuracy prediction using unbiased iteration particle swarm optimization (UIPSO). COMPUSOFT: An International Journal of Advanced Computer Technology, 6(11), 2461–2468. Retrieved from https://ijact.in/index.php/j/article/view/419

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Section

Original Research Article

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