Software Mining Studies: Goals, Approaches, Artifacts, and Replicability
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-28406-4_5
Reference132 articles.
1. Aggarwal, K., Hindle, A., Stroulia, E.: Co-evolution of project documentation and popularity within github. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp. 360–363. ACM, New York (2014)
2. Alipour, A., Hindle, A., Stroulia, E.: A contextual approach towards more accurate duplicate bug report detection. In: Proceedings of the 10th Working Conference on Mining Software Repositories, MSR 2013, pp. 183–192. IEEE Press, Piscataway (2013)
3. Anderson, J., Salem, S., Do, H.: Improving the effectiveness of test suite through mining historical data. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp. 142–151. ACM, New York (2014)
4. Bajaj, K., Pattabiraman, K., Mesbah, A.: Mining questions asked by web developers. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp. 112–121. ACM, New York (2014)
5. Baldassari, B., Preux, P.: Understanding software evolution: the maisqual ant data set. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp. 424–427. ACM, New York (2014)
Cited by 5 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. On the Reproducibility and Replicability of Deep Learning in Software Engineering;ACM Transactions on Software Engineering and Methodology;2022-01-31
2. A Systematic Mapping Study on Analysis of Code Repositories;Informatica;2021
3. QuantityEr: An extensible and simple solution to obtain the amount of results of complex queries to GitHub;Innovación y Software;2020-03-30
4. Reproducibility and credibility in empirical software engineering: A case study based on a systematic literature review of the use of the SZZ algorithm;Information and Software Technology;2018-07
5. STRESS: A Semi-Automated, Fully Replicable Approach for Project Selection;2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2017-11
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