Proceedings of the 28th International Conference on Program Comprehension最新文献

BugSum

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904.3389272

Haoran Liu, Yue Yu, Shanshan Li, Yong Guo, Deze Wang, Xiaoguang Mao

{"title":"BugSum","authors":"Haoran Liu, Yue Yu, Shanshan Li, Yong Guo, Deze Wang, Xiaoguang Mao","doi":"10.1145/3387904.3389272","DOIUrl":"https://doi.org/10.1145/3387904.3389272","url":null,"abstract":"During collaborative software development, bug reports are dynamically maintained and evolved as a part of a software project. For a historical bug report with complicated discussions, an accurate and concise summary can enable stakeholders to reduce the time effort perusing the entire content. Existing studies on bug report summarization, based on whether supervised or unsupervised techniques, are limited due to their lack of consideration of the redundant information and disapproved standpoints among developers. comments. Accordingly, in this paper, we propose a novel un-supervised approach based on deep learning network, called Bug-Sum. Our approach integrates an auto-encoder network for feature extraction with a novel metric (believability) to measure the degree to which a sentence is approved or disapproved within discussions. In addition, a dynamic selection strategy is employed to optimize the comprehensiveness of the auto-generated summary represented by limited words. Extensive experiments show that our approach outperforms 8 comparative approaches over two public datasets. In particular, the probability of adding controversial sentences that are clearly disapproved by other developers during the discussion, into the summary is reduced by up to 69.6%.","PeriodicalId":433703,"journal":{"name":"Proceedings of the 28th International Conference on Program Comprehension","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116486231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

srcClone srcClone

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904.3389271

Hakam W. Alomari, Matthew Stephan

{"title":"srcClone","authors":"Hakam W. Alomari, Matthew Stephan","doi":"10.1145/3387904.3389271","DOIUrl":"https://doi.org/10.1145/3387904.3389271","url":null,"abstract":"Detecting code clones is an established method for comprehending and maintaining systems. One important but challenging form of code clone detection involves detecting semantic clones, which are those that are semantically similar code segments that differ syntactically. Existing approaches to semantic clone detection do not scale well to large code bases and have room for improvement in their precision and recall. In this paper, we present a scalable slicing-based approach for detecting code clones, including semantic clones. We determine code segment similarity based on their corresponding program slices. We take advantage of a lightweight, publicly available, and scalable program slicing approach to compute the necessary information. Our approach uses dependency analysis to find and measure cloned elements, and provides insights into elements of the code that are affected by an entire clone set/-class. We have implemented our approach as a tool called srcClone. We evaluate it by comparing it to two semantic clone detectors in terms of clones, performance, and scalability; and perform recall and precision analysis using established benchmark scenarios. In our evaluation, we illustrate our approach is both relatively scalable and accurate. srcClone can also be used by program analysts to run on non-compilable and incomplete source code, which serves comprehension and maintenance tasks very well. We believe our approach is an important advancement in program comprehension that can help improve clone detection practices and provide developers greater insights into their software.","PeriodicalId":433703,"journal":{"name":"Proceedings of the 28th International Conference on Program Comprehension","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117337687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

GGF

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904.3389252

Li Wu, Fei Li, Youhua Wu, Tao Zheng

引用次数: 7

SimplyHover SimplyHover

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904.3389297

Ahmad Jbara, Or Shacham, Bar Ben Michael, Omer Tavor

{"title":"SimplyHover","authors":"Ahmad Jbara, Or Shacham, Bar Ben Michael, Omer Tavor","doi":"10.1145/3387904.3389297","DOIUrl":"https://doi.org/10.1145/3387904.3389297","url":null,"abstract":"Code comprehension is a vital mental process in any maintenance activity. It becomes decisive in large code blocks, in particular those that are governed by if-else statements. These large blocks increase the spatial distance between the if statement and its else counterpart or other dependent else statements. This increased spatial complexity makes it hard for the developer to recall the if logical expression that he has just read and understood, so he needs to go back and read it again, then understand it, and eventually negate it to get the else implicit logical expression. In extreme cases the if-else pair might occur in different pages so the developer has to scroll back and forth to grasp them both. Furthermore, to understand the else implicit negated expression he might want to go back to the farthest if statement and understand the aggregated logical expression all the way to the else which makes the understanding of the else even harder. In this work, we introduce SimplyHover, a plug-in for the Eclipse IDE that brings the if condition next to its else counterpart or one of its descendants saving the developer to go back and forth over and over again. Furthermore, SimplyHover presents to the developer, when he hovers over else, the if conditions in their negated form and even lets him write his own simplification for that. In some cases, the tool even suggests its own simplification of the aggregated expression. To demonstrate the usage and usefulness of SimplyHover, a few code snippets from real software are presented.","PeriodicalId":433703,"journal":{"name":"Proceedings of the 28th International Conference on Program Comprehension","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127387006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

OpenSZZ

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904.3389295

Valentina Lenarduzzi, Fabio Palomba, Davide Taibi, D. Tamburri

引用次数: 1

BugVis

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904.3389299

David Bowes, Jean Petrić, T. Hall

引用次数: 1

Proceedings of the 28th International Conference on Program Comprehension 第28届程序理解国际会议论文集

Proceedings of the 28th International Conference on Program Comprehension Pub Date : 2020-07-13 DOI: 10.1145/3387904

引用次数: 1