This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 1Automatic Crash Reporting
- 1Call Stack Trace
- 1Contextual Information
- 1Continuous Delivery
- 1Continuous Integration
- 1Continuous Maintenance
Results for "Structural Engineering Reports"
-
2015
Aggarwal, K., Rutgers, T., Timbers, F., Hindle, Abram, Greiner, R., Stroulia, E.
In previous work by Alipour et al., a methodology was proposed for detecting duplicate bug reports by comparing the textual content of bug reports to subject-specific contextual material, namely lists of software-engineering terms, such as non-functional requirements and architecture keywords. When
-engineering literature. Evaluating this software-literature context method on real-world bug reports produces useful results that indicate this semi-automated method has the potential to substantially decrease the manual effort used in contextual bug deduplication while suffering only a minor loss in accuracy.
a bug report contains a word in these word-list contexts, the bug report is considered to be associated with that context and this information tends to improve bug-deduplication methods. In this paper, we propose a method to partially automate the extraction of contextual word lists from software
-
The Unreasonable Effectiveness of Traditional Information Retrieval in Crash Report Deduplication
Download2016
Campbell, J.C., Santos, E.A., Hindle, Abram
Organizations like Mozilla, Microsoft, and Apple are flooded with thousands of automated crash reports per day. Although crash reports contain valuable information for debugging, there are often too many for developers to examine individually. Therefore, in industry, crash reports are often
automatically grouped together in buckets. Ubuntu's repository contains crashes from hundreds of software systems available with Ubuntu. A variety of crash report bucketing methods are evaluated using data collected by Ubuntu's Apport automated crash reporting system. The trade-off between precision and recall
retrieval techniques, that were not designed to be used with crash reports, outperform other techniques which are specifically designed for the task of crash bucketing at realistic industrial scales. This research indicates that automated crash bucketing still has a lot of room for improvement, especially
-
2015
commits on weekends, yet similar numbers of bug reports and similar numbers of contributing authors. Analysis of source code in these repositories reveals that the vast majority of code can be reconstructed from duplicate fragments. Finally, these results are corroborated by a survey of computer musicians
and interviews with individuals in this end-user community. Based on this analysis and feedback from computer musicians we find that there are many avenues where software engineering can be applied to help aid this community of end-user programmers.
-
2016
There are many "continuous" practices in software engineering, for example continuous integration (CI), continuous delivery (CD), continuous release (CR), and DevOps. However, the maintenance aspect of continuity is rarely mentioned in publication or education. The continuous practices and
applications depend on many repositories and artifacts, such as databases, servers, virtual machines, storage, data, meta-data, various logs, and reports. Continuous maintenance (CM) seeks to maintain these repositories and artifacts properly and consistently through automation, summarization, compaction
-
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS)
Download2023
Sun, W., Iwuchukwu, S., Bangash, A.A., Hindle, Abram
The value of teamwork is being recognized by project owners, resulting in an increased acknowledgement of collaboration among developers in software engineering. A good understanding of how developers work together could positively impact software development practices. In this paper, we
). From the results we find out that test files report the highest degree of collaboration among the developers, perhaps because collaboration is critical to ensure convergence of functionality tests. Furthermore, the source code files show the least degree of collaboration, perhaps because of code