Bug detection in Java code: An extensive evaluation of static analysis tools using Juliet Test Suites-Reference-Cited by-同舟云学术

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Bug detection in Java code: An extensive evaluation of static analysis tools using Juliet Test Suites

Published:2022-12-29 Issue:5 Volume:53 Page:1125-1143
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exp

Author:

Amankwah Richard¹²,Chen Jinfu¹^ORCID,Song Heping¹,Kudjo Patrick Kwaku³

Affiliation:

1. School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China

2. Department of Mathematics and Info. Tech Presbyterian College of Education Akropong‐Akuapem Ghana

3. Department of Information Technology Studies Wisconsin International University Accra Ghana

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.3181

Reference67 articles.

1. LamMS HangalS.Tracking down software bugs using automatic anomaly detection. Proceedings of the 24th International Conference on Software Engineering;2002:291‐300.

2. WangS ChollakD Movshovitz‐AttiasD TanL.Bugram: bug detection with n‐gram language models. Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering;2016:708‐719; IEEE.

3. ChangRY PodgurskiA YangJ.Finding what's not there: a new approach to revealing neglected conditions in software. Proceedings of the 2007 International Symposium on Software Testing and Analysis;2007:163‐173.

5. LiangB BianP ZhangY ShiW YouW CaiY.AntMiner: mining more bugs by reducing noise interference. Proceedings of the 38th International Conference on Software Engineering;2016:333‐344.

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