{"title":"Are Automatic Bug Report Summarizers Missing the Target?","authors":"J. Anvik, Akalanka Galappaththi","doi":"10.1145/3387940.3392236","DOIUrl":null,"url":null,"abstract":"Bug reports can be lengthy due to long descriptions and long conversation threads. Automatic summarization of the text in a bug report can reduce the time spent by software project members on understanding the content of a bug report. Quality of the bug report summaries have been historically evaluated using human-created gold-standard summaries. However, we believe this is not a good practice for two reasons. First, we observed high disagreement levels in the annotated summaries and the number of annotators to create gold-standard summaries was lower than the established value for stable annotation. We believe that creating a fixed summary length of 25% of the word count of the corresponding bug report is not suitable for every time when a person refers to a bug report. Therefore, we propose an automatic sentence annotation method and an interface to customize the presented summary.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387940.3392236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Bug reports can be lengthy due to long descriptions and long conversation threads. Automatic summarization of the text in a bug report can reduce the time spent by software project members on understanding the content of a bug report. Quality of the bug report summaries have been historically evaluated using human-created gold-standard summaries. However, we believe this is not a good practice for two reasons. First, we observed high disagreement levels in the annotated summaries and the number of annotators to create gold-standard summaries was lower than the established value for stable annotation. We believe that creating a fixed summary length of 25% of the word count of the corresponding bug report is not suitable for every time when a person refers to a bug report. Therefore, we propose an automatic sentence annotation method and an interface to customize the presented summary.