2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)最新文献_第8页

Towards more accurate content categorization of API discussions 针对API更准确的内容分类进行讨论

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597142

Bo Zhou, Xin Xia, D. Lo, Cong Tian, Xinyu Wang

{"title":"Towards more accurate content categorization of API discussions","authors":"Bo Zhou, Xin Xia, D. Lo, Cong Tian, Xinyu Wang","doi":"10.1145/2597008.2597142","DOIUrl":"https://doi.org/10.1145/2597008.2597142","url":null,"abstract":"Nowadays, software developers often discuss the usage of various APIs in online forums. Automatically assigning pre-defined semantic categorizes to API discussions in these forums could help manage the data in online forums, and assist developers to search for useful information. We refer to this process as content categorization of API discussions. To solve this problem, Hou and Mo proposed the usage of naive Bayes multinomial, which is an effective classification algorithm. \u0000 In this paper, we propose a Cache-bAsed compoSitE algorithm, short formed as CASE, to automatically categorize API discussions. Considering that the content of an API discussion contains both textual description and source code, CASE has 3 components that analyze an API discussion in 3 different ways: text, code, and original. In the text component, CASE only considers the textual description; in the code component, CASE only considers the source code; in the original component, CASE considers the original content of an API discussion which might include textual description and source code. Next, for each component, since different terms (i.e., words) have different affinities to different categories, CASE caches a subset of terms which have the highest affinity scores to each category, and builds a classifier based on the cached terms. Finally, CASE combines all the 3 classifiers to achieve a better accuracy score. We evaluate the performance of CASE on 3 datasets which contain a total of 1,035 API discussions. The experiment results show that CASE achieves accuracy scores of 0.69, 0.77, and 0.96 for the 3 datasets respectively, which outperforms the state-of-the-art method proposed by Hou and Mo by 11%, 10%, and 2%, respectively.","PeriodicalId":6853,"journal":{"name":"2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)","volume":"92 4 1","pages":"95-105"},"PeriodicalIF":0.0,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89451295","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: 19

What is the foundation of evidence of human factors decisions in language design? an empirical study on programming language workshops 语言设计中人为因素决定的证据基础是什么?编程语言研讨会的实证研究

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597154

A. Stefik, Stefan Hanenberg, Mark McKenney, A. Andrews, Srinivas Kalyan Yellanki, Susanna Siebert

{"title":"What is the foundation of evidence of human factors decisions in language design? an empirical study on programming language workshops","authors":"A. Stefik, Stefan Hanenberg, Mark McKenney, A. Andrews, Srinivas Kalyan Yellanki, Susanna Siebert","doi":"10.1145/2597008.2597154","DOIUrl":"https://doi.org/10.1145/2597008.2597154","url":null,"abstract":"In recent years, the programming language design community has engaged in rigorous debate on the role of empirical evidence in the design of general purpose programming languages. Some scholars contend that the language community has failed to embrace a form of evidence that is non-controversial in other disciplines (e.g., medicine, biology, psychology, sociology, physics, chemistry), while others argue that a science of language design is unrealistic. While the discussion will likely persist for some time, we begin here a systematic evaluation of the use of empirical evidence with human users, documenting, paper-by-paper, the evidence provided for human factors decisions, beginning with 359 papers from the workshops PPIG, Plateau, and ESP. This preliminary work provides the following contributions: an analysis of the 1) overall quantity and quality of empirical evidence used in the workshops, and of the 2) overall significant challenges to reliably coding academic papers. We hope that, once complete, this long-term research project will serve as a practical catalog designers can use when evaluating the impact of a language feature on human users.","PeriodicalId":6853,"journal":{"name":"2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)","volume":"3 1","pages":"223-231"},"PeriodicalIF":0.0,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76262294","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: 19

Prioritizing maintainability defects based on refactoring recommendations 根据重构建议对可维护性缺陷进行优先级排序

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597805

Daniela Steidl, S. Eder

引用次数: 26

Mining unit tests for code recommendation 挖掘单元测试以推荐代码

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597789

Mohammad Ghafari, C. Ghezzi, Andrea Mocci, Giordano Tamburrelli

引用次数: 12

Comprehension support during knowledge transitions: learning from field 知识转换过程中的理解支持:实地学习

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597804

Vikrant S. Kaulgud, K. Annervaz, Janardan Misra, Gary Titus

引用次数: 0

CODES: mining source code descriptions from developers discussions 代码:从开发人员讨论中挖掘源代码描述

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597799

Carmine Vassallo, Sebastiano Panichella, M. D. Penta, G. Canfora

引用次数: 77

Identifying and locating interference issues in PHP applications: the case of WordPress 识别和定位PHP应用程序中的干扰问题:以WordPress为例

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597153

L. Eshkevari, G. Antoniol, J. Cordy, M. D. Penta

引用次数: 16

Understanding the database manipulation behavior of programs 理解程序的数据库操作行为

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597790

Nesrine Noughi, Marco Mori, L. Meurice, Anthony Cleve

引用次数: 4

How the evolution of emerging collaborations relates to code changes: an empirical study 新兴协作的演变如何与代码更改相关:一项实证研究

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597145

Sebastiano Panichella, G. Canfora, M. D. Penta, R. Oliveto

{"title":"How the evolution of emerging collaborations relates to code changes: an empirical study","authors":"Sebastiano Panichella, G. Canfora, M. D. Penta, R. Oliveto","doi":"10.1145/2597008.2597145","DOIUrl":"https://doi.org/10.1145/2597008.2597145","url":null,"abstract":"Developers contributing to open source projects spontaneously group into \"emerging'' teams, reflected by messages exchanged over mailing lists, issue trackers and other communication means. Previous studies suggested that such teams somewhat mirror the software modularity. This paper empirically investigates how, when a project evolves, emerging teams re-organize themselves-e.g., by splitting or merging. We relate the evolution of teams to the files they change, to investigate whether teams split to work on cohesive groups of files. Results of this study-conducted on the evolution history of four open source projects, namely Apache httpd, Eclipse JDT, Netbeans, and Samba-provide indications of what happens in the project when teams reorganize. Specifically, we found that emerging team splits imply working on more cohesive groups of files and emerging team merges imply working on groups of files that are cohesive from structural perspective. Such indications serve to better understand the evolution of software projects. More important, the observation of how emerging teams change can serve to suggest software remodularization actions.","PeriodicalId":6853,"journal":{"name":"2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)","volume":"18 1","pages":"177-188"},"PeriodicalIF":0.0,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80981545","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: 30

How do API changes trigger stack overflow discussions? a study on the Android SDK API变化如何引发堆栈溢出讨论?Android SDK的研究

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2014-06-02 DOI: 10.1145/2597008.2597155

M. Vásquez, G. Bavota, M. D. Penta, R. Oliveto, D. Poshyvanyk

{"title":"How do API changes trigger stack overflow discussions? a study on the Android SDK","authors":"M. Vásquez, G. Bavota, M. D. Penta, R. Oliveto, D. Poshyvanyk","doi":"10.1145/2597008.2597155","DOIUrl":"https://doi.org/10.1145/2597008.2597155","url":null,"abstract":"The growing number of questions related to mobile development in StackOverflow highlights an increasing interest of software developers in mobile programming. For the Android platform, 213,836 questions were tagged with Android-related labels in StackOverflow between July 2008 and August 2012. This paper aims at investigating how changes occurring to Android APIs trigger questions and activity in StackOverflow, and whether this is particularly true for certain kinds of changes. Our findings suggest that Android developers usually have more questions when the behavior of APIs is modified. In addition, deleting public methods from APIs is a trigger for questions that are (i) more discussed and of major interest for the community, and (ii) posted by more experienced developers. In general, results of this paper provide important insights about the use of social media to learn about changes in software ecosystems, and establish solid foundations for building new recommenders for notifying developers/managers about important changes and recommending them relevant crowdsourced solutions","PeriodicalId":6853,"journal":{"name":"2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)","volume":"26 1","pages":"83-94"},"PeriodicalIF":0.0,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84520186","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: 164