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典型文献
Handling class imbalance problem in software maintainability prediction:an empirical investigation
文献摘要:
As the complexity of software systems is increa-sing;software maintenance is becoming a challenge for software practitioners.The prediction of classes that require high maintainability effort is of utmost necessity to develop cost-effective and high-quality software.In research of software engineering predictive modeling,various software maintaina-bility prediction(SMP)models are evolved to forecast main-tainability.To develop a maintainability prediction model,software practitioners may come across situations in which classes or modules requiring high maintainability effort are far less than those requiring low maintainability effort.This condition gives rise to a class imbalance problem(CIP).In this situation,the minority classes'prediction,i.e.,the classes demanding high maintainability effort,is a challenge.There-fore,in this direction,this study investigates three techniques for handling the CIP on ten open-source software to predict software maintainability.This empirical investigation supports the use of resampling with replacement technique(RR)for treating CIP and develop useful models for SMP.
文献关键词:
作者姓名:
Ruchika MALHOTRA;Kusum LATA
作者机构:
Discipline of Software Engineering,Department of Computer Science&Engineering,Delhi Technological University,Delhi 110042,India;University School of Management and Entrepreneurship,East Delhi Campus,Delhi Technological University,Delhi 110095,India
文献出处:
引用格式:
[1]Ruchika MALHOTRA;Kusum LATA-.Handling class imbalance problem in software maintainability prediction:an empirical investigation)[J].计算机科学前沿,2022(04):4-17
A类:
maintainability,maintaina
B类:
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AB值:
0.465034
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