Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems

Author:

Malhotra Ruchika,Chug Anuradha

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Reference45 articles.

1. Aggarwal KK, Singh Y, Chandra P, Puri M (2005a) Measurement of software maintainability using a fuzzy model. J Comput Sci 1(4):538–542 ISSN 1549-3636

2. Aggarwal KK, Singh Y, Kaur A, Malhotra R (2005b) Analysis of object-oriented metrics. In: International workshop on software measurement (IWSM)

3. Aggarwal KK, Singh Y, Kaur A, Malhotra R (2006) Application of artificial neural network for predicting maintainability using object oriented metrics. Proc World Acad Sci Eng Technol 15:285–289

4. Aggarwal KK, Singh Y, Kaur A, Malhotra R (2007) Application of artificial neural network for predicting fault proneness models. In: International conference on information systems, technology and management (ICISTM 2007), pp 12–13

5. Ash D, Alderete J, Yao L, Oman PW, Lowther B (1994) Using software maintainability models to track code health. In: Proceedings of international conference on software maintenance. IEEE, Los Alamitos

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Hybridized Techniques with Class Imbalance Learning for Predicting Software Maintainability;International Journal of Reliability, Quality and Safety Engineering;2023-04

2. A feature selection strategy for improving software maintainability prediction;Intelligent Data Analysis;2022-03-14

3. Firefly-Based Maintainability Prediction for Enhancing Quality of Software;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2021-12

4. complexFuzzy: A novel clustering method for selecting training instances of cross-project defect prediction;Computer Science;2021-02-01

5. An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction;International Journal of Interactive Multimedia and Artificial Intelligence;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3