2013 21st International Conference on Program Comprehension (ICPC)最新文献_第3页

Improving the detection accuracy of evolutionary coupling 提高进化耦合的检测精度

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613853

Manishankar Mondal, C. Roy, Kevin A. Schneider

引用次数: 12

Part-of-speech tagging of program identifiers for improved text-based software engineering tools 改进的基于文本的软件工程工具的程序标识符词性标注

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613828

Samir Gupta, Sana Malik, L. Pollock, K. Vijay-Shanker, Brian P. Eddy, Jeffrey A. Robinson, Nicholas A. Kraft, Jeffrey C. Carver, Laura Moreno, Jairo Aponte, G. Sridhara, Andrian Marcus, Zohreh Sharafi, A. Marchetto, A. Susi, G. Antoniol, Koki Kato, Stephan Diehl, Nigar Gurbanova

{"title":"Part-of-speech tagging of program identifiers for improved text-based software engineering tools","authors":"Samir Gupta, Sana Malik, L. Pollock, K. Vijay-Shanker, Brian P. Eddy, Jeffrey A. Robinson, Nicholas A. Kraft, Jeffrey C. Carver, Laura Moreno, Jairo Aponte, G. Sridhara, Andrian Marcus, Zohreh Sharafi, A. Marchetto, A. Susi, G. Antoniol, Koki Kato, Stephan Diehl, Nigar Gurbanova","doi":"10.1109/ICPC.2013.6613828","DOIUrl":"https://doi.org/10.1109/ICPC.2013.6613828","url":null,"abstract":"To aid program comprehension, programmers choose identifiers for methods, classes, fields and other program elements primarily by following naming conventions in software. These software “naming conventions” follow systematic patterns which can convey deep natural language clues that can be leveraged by software engineering tools. For example, they can be used to increase the accuracy of software search tools, improve the ability of program navigation tools to recommend related methods, and raise the accuracy of other program analyses. After splitting multi-word names into their component words, the next step to extracting accurate natural language information is tagging each word with its part of speech (POS) and then chunking the name into natural language phrases. State-of-theart approaches, most of which rely on “traditional POS taggers” trained on natural language documents, do not capture the syntactic structure of program elements. In this paper, we present a POS tagger and syntactic chunker for source code names that takes into account programmers' naming conventions to understand the regular, systematic ways a program element is named. We studied the naming conventions used in Object Oriented Programming and identified different grammatical constructions that characterize a large number of program identifiers. This study then informed the design of our POS tagger and chunker. Our evaluation results show a significant improvement in accuracy(11%-20%) of POS tagging of identifiers, over the current approaches. With this improved accuracy, both automated software engineering tools and developers will be able to better capture and understand the information available in code.","PeriodicalId":237170,"journal":{"name":"2013 21st International Conference on Program Comprehension (ICPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130153509","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: 77

JSummarizer: An automatic generator of natural language summaries for Java classes JSummarizer:为Java类自动生成自然语言摘要

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613855

Laura Moreno, Andrian Marcus, L. Pollock, K. Vijay-Shanker

引用次数: 54

Evaluating software clustering algorithms in the context of program comprehension 在程序理解的背景下评价软件聚类算法

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613844

Anas Mahmoud, Nan Niu

引用次数: 13

Towards a unified software attack model to assess software protections 建立统一的软件攻击模型来评估软件防护

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613852

C. Basile, M. Ceccato

引用次数: 2

Towards generating human-oriented summaries of unit test cases 朝着生成面向人的单元测试用例摘要的方向发展

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613851

Manabu Kamimura, G. Murphy

引用次数: 33

Patterns of cross-language linking in java frameworks java框架中跨语言链接的模式

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613839

Philip Mayer, Andreas Schroeder

引用次数: 8

Using code ownership to improve IR-based Traceability Link Recovery 使用代码所有权来改进基于ir的可追溯性链接恢复

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613840

Diana Diaz, G. Bavota, Andrian Marcus, R. Oliveto, Silvia Takahashi, A. D. Lucia

{"title":"Using code ownership to improve IR-based Traceability Link Recovery","authors":"Diana Diaz, G. Bavota, Andrian Marcus, R. Oliveto, Silvia Takahashi, A. D. Lucia","doi":"10.1109/ICPC.2013.6613840","DOIUrl":"https://doi.org/10.1109/ICPC.2013.6613840","url":null,"abstract":"Information Retrieval (IR) techniques have gained wide-spread acceptance as a method for automating traceability recovery. These techniques recover links between software artifacts based on their textual similarity, i.e., the higher the similarity, the higher the likelihood that there is a link between the two artifacts. A common problem with all IR-based techniques is filtering out noise from the list of candidate links, in order to improve the recovery accuracy. Indeed, software artifacts may be related in many ways and the textual information captures only one aspect of their relationships. In this paper we propose to leverage code ownership information to capture relationships between source code artifacts for improving the recovery of traceability links between documentation and source code. Specifically, we extract the author of each source code component and for each author we identify the “context” she worked on. Thus, for a given query from the external documentation we compute the similarity between it and the context of the authors. When retrieving classes that relate to a specific query using a standard IR-based approach we reward all the classes developed by the authors having their context most similar to the query, by boosting their similarity to the query. The proposed approach, named TYRION (TraceabilitY link Recovery using Information retrieval and code OwNership), has been instantiated for the recovery of traceability links between use cases and Java classes of two software systems. The results indicate that code ownership information can be used to improve the accuracy of an IR-based traceability link recovery technique.","PeriodicalId":237170,"journal":{"name":"2013 21st International Conference on Program Comprehension (ICPC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606478","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: 38

SimCad: An extensible and faster clone detection tool for large scale software systems SimCad:用于大型软件系统的可扩展且更快的克隆检测工具

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613857

M. Uddin, C. Roy, Kevin A. Schneider

{"title":"SimCad: An extensible and faster clone detection tool for large scale software systems","authors":"M. Uddin, C. Roy, Kevin A. Schneider","doi":"10.1109/ICPC.2013.6613857","DOIUrl":"https://doi.org/10.1109/ICPC.2013.6613857","url":null,"abstract":"Code cloning is an inevitable phenomenon in evolution of software systems. To reduce the harmful effects of clones in software evolution, they need to be identified correctly as well in a time efficient way. There might be various types of clones in a software system. Earlier research shows detection of near-miss clones in large datasets appears to be costly in terms of time and memory. Among the clone detection tools available in practice, not very many of them are found effective in that regard. In this paper we present a standalone clone detection tool SimCad. It is based on a highly scalable and faster clone detection algorithm designed to detect both exact and near-miss clones in large-scale software systems. One of the potential aspects of SimCad is that its clone detection function is made more portable by packaging it into a library called SimLib. Thus, SimLib now can be used as an off-the-shelf clone detection library that can be easily integrated into other applications that are designed to work based on detected clones. For example, a standalone tool or an Integrated Development Environment (IDE) plugin can use SimLib for realtime clone detection while providing its own services like clone visualization and/or clone management functionalities. We hope that both researchers and developers would enjoy and utilize the benefit of using these tools in different aspects of detection and management of clones in software.","PeriodicalId":237170,"journal":{"name":"2013 21st International Conference on Program Comprehension (ICPC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134468983","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: 37

Structural information based term weighting in text retrieval for feature location 基于结构信息的词加权特征定位文本检索

2013 21st International Conference on Program Comprehension (ICPC) Pub Date : 2013-05-20 DOI: 10.1109/ICPC.2013.6613841

Blake Bassett, Nicholas A. Kraft

引用次数: 44