Toward Rapid Bug Resolution for Android Apps
Pages 237 - 241
Abstract
Bug reports document unexpected behaviors in software, enabling developers to understand, validate, and fix bugs. Unfortunately, a significant portion of bug reports is of low quality, which poses challenges for developers in terms of addressing these issues. Prior research has delved into the information needed for documenting high-quality bug reports and expediting bug report management. Furthermore, researchers have explored the challenges associated with bug report management and proposed various automated techniques. Nevertheless, these techniques exhibit several limitations, including a lexical gap between developers and reporters, difficulties in bug reproduction, and identifying bug locations. Therefore, there is a pressing need for additional efforts to effectively manage bug reports and enhance the quality of both desktop and mobile applications. In this paper, we describe the existing limitations of bug reports and identify potential strategies for addressing them. Our vision encompasses a future where the alleviation of these limitations and successful execution of our proposed new research directions can benefit both reporters and developers, ultimately making the entire software maintenance faster.
References
[1]
2023. Apache Lucene- https://lucene.apache.org.
[2]
2023. BugZilla Issue Tracker - https://bugzilla.mozilla.org.
[3]
2023. ChatGPT- https://chat.openai.com.
[4]
2023. GitHub Issue Tracker - https://github.com/features.
[5]
2023. JIRA Bug Reporting System - https://www.atlassian.com/software/jira.
[6]
2023. Llama- https://ai.meta.com/llama/.
[7]
2023. An open letter to GitHub from the maintainers of open source projects. https://github.com/dear-github/dear-github.
[8]
2023. Prompt Engineering - https://platform.openai.com/docs/guides/prompt-engineering.
[9]
Nicolas Bettenburg, Sascha Just, Adrian Schröter, Cathrin Weiss, Rahul Premraj, and Thomas Zimmermann. 2008. What Makes a Good Bug Report?. In Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of Software Engineering (Atlanta, Georgia) (SIGSOFT '08/FSE-16). Association for Computing Machinery, New York, NY, USA, 308--318.
[10]
Oscar Chaparro, Carlos Bernal-Cárdenas, Jing Lu, Kevin Moran, Andrian Marcus, Massimiliano Di Penta, Denys Poshyvanyk, and Vincent Ng. 2019. Assessing the Quality of the Steps to Reproduce in Bug Reports. In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Tallinn, Estonia) (ESEC/FSE 2019). Association for Computing Machinery, New York, NY, USA, 86--96.
[11]
Oscar Chaparro, Jing Lu, Fiorella Zampetti, Laura Moreno, Massimiliano Di Penta, Andrian Marcus, Gabriele Bavota, and Vincent Ng. 2017. Detecting Missing Information in Bug Descriptions. In Proceedings of the 11th Joint Meeting on the Foundations of Software Engineering (ESEC/FSE'17). 396--407.
[12]
Robert N. Charette. 2005. Why Software Fails. IEEE Spectrum (2005), 42--49.
[13]
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022. Palm: Scaling language modeling with pathways. arXiv preprint arXiv:2204.02311 (2022).
[14]
Steven Davies, Marc Roper, and Murray Wood. 2012. Using bug report similarity to enhance bug localisation. In 2012 19th Working Conference on Reverse Engineering. IEEE, 125--134.
[15]
Bogdan Dit, Meghan Revelle, Malcom Gethers, and Denys Poshyvanyk. 2013. Feature location in source code: a taxonomy and survey. Journal of software: Evolution and Process 25, 1 (2013), 53--95.
[16]
Sidong Feng and Chunyang Chen. 2023. Prompting Is All You Need: Automated Android Bug Replay with Large Language Models. https://api.semanticscholar.org/CorpusID:259950715
[17]
Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, and Jian Yin. 2022. UniXcoder: Unified Cross-Modal Pre-training for Code Representation. arXiv preprint arXiv:2203.03850 (2022).
[18]
Jack Johnson, Junayed Mahmud, Tyler Wendland, Kevin Moran, Julia Rubin, and Mattia Fazzini. 2022. An Empirical Investigation into the Reproduction of Bug Reports for Android Apps. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2022).
[19]
Amy J. Ko and Brad A. Myers. 2008. Debugging Reinvented: Asking and Answering Why and Why Not Questions about Program Behavior. In Proceedings of the 30th International Conference on Software Engineering (Leipzig, Germany) (ICSE '08). Association for Computing Machinery, New York, NY, USA, 301--310.
[20]
Junayed Mahmud, Nadeeshan De Silva, Safwat Ali Khan, Seyed Hooman Mostafavi, S M Hasan Mansur, Oscar Chaparro, Andrian Marcus, and Kevin Moran. 2023. On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization. ArXiv abs/2310.08083 (2023). https://api.semanticscholar.org/CorpusID:263909147
[21]
Matthew B. Miles, A. Michael Huberman, and Johnny Saldaña. 2013. Qualitative data analysis: a methods sourcebook. Thousand Oaks, Califorinia: SAGE Publications, Inc., [2014] ©2014.
[22]
Kevin Moran, Mario Linares-Vásquez, Carlos Bernal-Cárdenas, and Denys Poshyvanyk. 2015. Auto-completing Bug Reports for Android Applications. In Proceedings of the Joint Meeting on Foundations of Software Engineering (FSE'15). 673--686.
[23]
Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal Cardenas, Denys Poshyvanyk, and Zach H'Doubler. 2022. An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation. In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). 514--525.
[24]
Emerson Murphy-Hill, Thomas Zimmermann, Christian Bird, and Nachiappan Nagappan. 2013. The design of bug fixes. In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 332--341.
[25]
Mohammad Masudur Rahman and Chanchal K. Roy. 2018. Improving IR-Based Bug Localization with Context-Aware Query Reformulation. In Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Lake Buena Vista, FL, USA) (ESEC/FSE 2018). Association for Computing Machinery, New York, NY, USA, 621--632.
[26]
Nils Reimers and Iryna Gurevych. 2019. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. http://arxiv.org/abs/1908.10084
[27]
Yang Song and Oscar Chaparro. 2020. Bee: A tool for structuring and analyzing bug reports. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 1551--1555.
[28]
Yang Song, Junayed Mahmud, Nadeeshan De Silva, Ying Zhou, Oscar Chaparro, Kevin Moran, Andrian Marcus, and Denys Poshyvanyk. 2023. BURT: A Chatbot for Interactive Bug Reporting. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE'23)). 170--174.
[29]
Yang Song, Junayed Mahmud, Ying Zhou, Oscar Chaparro, Kevin Moran, Andrian Marcus, and Denys Poshyvanyk. 2022. Toward interactive bug reporting for (android app) end-users. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 344--356.
[30]
Cathrin Weiss, Rahul Premraj, Thomas Zimmermann, and Andreas Zeller. 2007. How long will it take to fix this bug?. In Fourth International Workshop on Mining Software Repositories (MSR'07: ICSE Workshops 2007). IEEE, 1--1.
[31]
M. Wen, R. Wu, and S. Cheung. 2016. Locus: Locating bugs from software changes. In Proceedings of the 31st International Conference on Automated Software Engineering (ASE'16). 262--273.
[32]
Tyler Wendland, Jingyang Sun, Junayed Mahmud, Syeda Mansur, Steven Huang, Kevin Moran, Julia Rubin, and Mattia Fazzini. 2021. Andror2: A Dataset of Manually-Reproduced Bug Reports for Android apps. 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) (2021), 600--604.
[33]
Klaus Changsun Youm, June Ahn, and Eunseok Lee. 2017. Improved bug localization based on code change histories and bug reports. Information and Software Technology 82 (2017), 177--192.
[34]
Jian Zhou, Hongyu Zhang, and David Lo. 2012. Where Should the Bugs Be Fixed? More Accurate Information Retrieval-Based Bug Localization Based on Bug Reports. In Proceedings of the International Conference on Software Engineering (ICSE'12). 14--24.
[35]
Thomas Zimmermann, Rahul Premraj, Nicolas Bettenburg, Sascha Just, Adrian Schröter, and Cathrin Weiss. 2010. What Makes a Good Bug Report? IEEE Transactions on Software Engineering 36, 5 (2010), 618--643.
Index Terms
- Toward Rapid Bug Resolution for Android Apps
Recommendations
On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization
ICSE '24: Proceedings of the IEEE/ACM 46th International Conference on Software EngineeringOne of the most important tasks related to managing bug reports is localizing the fault so that a fix can be applied. As such, prior work has aimed to automate this task of bug localization by formulating it as an information retrieval problem, where ...
Bug localization via searching crowd-contributed code
Internetware '14: Proceedings of the 6th Asia-Pacific Symposium on InternetwareBug localization, i.e., locating bugs in code snippets, is a frequent task in software development. Although static bug-finding tools are available to reduce manual effort in bug localization, these tools typically detect bugs with known project-...
Improving bug reporting, duplicate detection, and localization
ICSE-C '17: Proceedings of the 39th International Conference on Software Engineering CompanionSoftware developers rely on essential textual information from bug reports (such as Observed Behavior, Expected Behavior, and Steps to Reproduce) to triage and fix software bugs. Unfortunately, while relevant and useful, this information is often ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
April 2024
531 pages
ISBN:9798400705021
DOI:10.1145/3639478
- Co-chairs:
- Ana Paiva,
- Rui Abreu,
- Program Co-chairs:
- Abhik Roychoudhury,
- Margaret Storey
Copyright © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Sponsors
In-Cooperation
- Faculty of Engineering of University of Porto
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 May 2024
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
ICSE-Companion '24
Sponsor:
ICSE-Companion '24: 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings
April 14 - 20, 2024
Lisbon, Portugal
Acceptance Rates
Overall Acceptance Rate 276 of 1,856 submissions, 15%
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 43Total Downloads
- Downloads (Last 12 months)43
- Downloads (Last 6 weeks)5
Reflects downloads up to 12 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in