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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
2104-2108

Interpretable method of just-in-time defect prediction model for mobile App

Hu Xinyu1
Chen Xiang1,2
Xia Hongling1
Gu Yafeng1
1. School of Information Science & Technology, Nantong University, Nantong Jiangsu 226019, China
2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0679

Abstract

In the field of mobile App just-in-time(JIT) defect prediction, most studies only focus on the performance of the prediction model but ignore the interpretability of the model. Therefore, developers will lack trust in the prediction results of the defect prediction model and hinder the application of the defect prediction model in practice. This paper studied the interpretability of the mobile App JIT defect prediction model. And it proposed the method ExplainApp by hyperparameter optimization of the local interpretability technology LIME method via a differential evolution algorithm, which could generate explanations for the prediction results. This study selected 14 real-world Android applications as preposed experimental objects. The final results show that, the method ExplainApp can explain the prediction results of the instance generated by the mobile App JIT defect prediction model. And the method ExplainApp is superior to the original LIME method in terms of the goodness of fit. Specifically, the performance can improve by 94.50% on average.

Foundation Support

国家自然科学基金资助项目(61202006)
南京大学计算机软件新技术国家重点实验室开放课题(KFKT2019B14)
南通市应用研究计划项目(JC2021124)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0679
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: System Development & Application
Pages: 2104-2108
Serial Number: 1001-3695(2022)07-029-2104-05

Publish History

[2022-03-08] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

胡新宇, 陈翔, 夏鸿崚, 等. 移动App即时缺陷预测模型的可解释性方法 [J]. 计算机应用研究, 2022, 39 (7): 2104-2108. (Hu Xinyu, Chen Xiang, Xia Hongling, et al. Interpretable method of just-in-time defect prediction model for mobile App [J]. Application Research of Computers, 2022, 39 (7): 2104-2108. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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