scholarly journals The impact of traceability on software maintenance and evolution: A mapping study

2021 ◽  
Vol 33 (10) ◽  
Author(s):  
Fangchao Tian ◽  
Tianlu Wang ◽  
Peng Liang ◽  
Chong Wang ◽  
Arif Ali Khan ◽  
...  
Keyword(s):  
Software Maintenance ◽  
Mapping Study ◽  
Software Maintenance And Evolution ◽  
The Impact

scholarly journals Software Clone Detection and Refactoring

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Francesca Arcelli Fontana ◽  
Marco Zanoni ◽  
Andrea Ranchetti ◽  
Davide Ranchetti
Keyword(s):  
Software Quality ◽  
Software Maintenance ◽  
Quality Metrics ◽  
Clone Detection ◽  
Software Maintenance And Evolution ◽  
Software Clones ◽  
Software Clone Detection ◽  
Points Of View ◽  
Software Quality Metrics ◽  
The Impact

Several studies have been proposed in the literature on software clones from different points of view and covering many correlated features and areas, which are particularly relevant to software maintenance and evolution. In this paper, we describe our experience on clone detection through three different tools and investigate the impact of clone refactoring on different software quality metrics.

scholarly journals Augmenting Bug Localization with Part-of-Speech and Invocation

2017 ◽  
Vol 27 (06) ◽  
pp. 925-949 ◽  
Author(s):  
Yu Zhou ◽  
Yanxiang Tong ◽  
Taolue Chen ◽  
Jin Han
Keyword(s):  
Software Maintenance ◽  
Large Scale ◽  
Bug Localization ◽  
Bug Reports ◽  
Part Of Speech ◽  
Adaptive Technique ◽  
Bug Report ◽  
Software Maintenance And Evolution ◽  
Speech Features ◽  
Localization Approach

Bug localization represents one of the most expensive, as well as time-consuming, activities during software maintenance and evolution. To alleviate the workload of developers, numerous methods have been proposed to automate this process and narrow down the scope of reviewing buggy files. In this paper, we present a novel buggy source-file localization approach, using the information from both the bug reports and the source files. We leverage the part-of-speech features of bug reports and the invocation relationship among source files. We also integrate an adaptive technique to further optimize the performance of the approach. The adaptive technique discriminates Top 1 and Top N recommendations for a given bug report and consists of two modules. One module is to maximize the accuracy of the first recommended file, and the other one aims at improving the accuracy of the fixed defect file list. We evaluate our approach on six large-scale open source projects, i.e. ASpectJ, Eclipse, SWT, Zxing, Birt and Tomcat. Compared to the previous work, empirical results show that our approach can improve the overall prediction performance in all of these cases. Particularly, in terms of the Top 1 recommendation accuracy, our approach achieves an enhancement from 22.73% to 39.86% for ASpectJ, from 24.36% to 30.76% for Eclipse, from 31.63% to 46.94% for SWT, from 40% to 55% for ZXing, from 7.97% to 21.99% for Birt, and from 33.37% to 38.90% for Tomcat.

Code Comment Quality Analysis and Improvement Recommendation: An Automated Approach

2016 ◽  
Vol 26 (06) ◽  
pp. 981-1000 ◽  
Author(s):  
Xiaobing Sun ◽  
Qiang Geng ◽  
David Lo ◽  
Yucong Duan ◽  
Xiangyue Liu ◽  
...  
Keyword(s):  
Software Maintenance ◽  
User Study ◽  
Program Comprehension ◽  
Quality Analysis ◽  
Software Systems ◽  
Sources Of Information ◽  
Software Maintenance And Evolution ◽  
Study Participants ◽  
Quality Assessments

Program comprehension is one of the first and most frequently performed activities during software maintenance and evolution. In a program, there are not only source code, but also comments. Comments in a program is one of the main sources of information for program comprehension. If a program has good comments, it will be easier for developers to understand it. Unfortunately, for many software systems, due to developers’ poor coding style or hectic work schedule, it is often the case that a number of methods and classes are not written with good comments. This can make it difficult for developers to understand the methods and classes, when they are performing future software maintenance tasks. To deal with this problem, in this paper we propose an approach which assesses the quality of a code comment and generates suggestions to improve comment quality. A user study is conducted to assess the effectiveness of our approach and the results show that our comment quality assessments are similar to the assessments made by our user study participants, the suggestions provided by our approach are useful to improve comment quality, and our approach can improve the accuracy of the previous comment quality analysis approaches.

scholarly journals The impact of usage of post object-oriented technologies on defect reduction in software maintenance

2019 ◽  
Keyword(s):  
Quality Improvement ◽  
Software Quality ◽  
Software Maintenance ◽  
Object Oriented ◽  
Maintenance Phase ◽  
Conceptual Scheme ◽  
Defect Reduction ◽  
Quality Improvement Research ◽  
Residual Defect ◽  
The Impact

The article is dedicated to software quality improvement research within the maintenance phase based on post-object-oriented technologies. An important problem of the maintenance phase is surveyed, namely, the crosscutting functionality problem. Mechanisms of post-object-oriented technologies have been reviewed and basic tasks to be resolved have been formulated in order to reach the final goal of the research: defect reduction during the maintenance phase. The post object-oriented technologies utilization framework for software quality improvement based on a collection of 4 heuristic assumptions has been introduced. The conceptual scheme of the framework has been presented. An applied 2-steps procedure for defect reduction assessment based on quantitative crosscutting-functionality and defect metrics has been described. Twelve results of the experiments concerning calculation of the residual defect number have been presented and analyzed.

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