2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)最新文献_第2页

Automatic ranking of clones for refactoring through mining association rules 通过挖掘关联规则为重构自动排序克隆

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747161

Manishankar Mondal, C. Roy, Kevin A. Schneider

{"title":"Automatic ranking of clones for refactoring through mining association rules","authors":"Manishankar Mondal, C. Roy, Kevin A. Schneider","doi":"10.1109/CSMR-WCRE.2014.6747161","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747161","url":null,"abstract":"In this paper, we present an in-depth empirical study on identifying clone fragments that can be important refactoring candidates. We mine association rules among clones in order to detect clone fragments that belong to the same clone class and have a tendency of changing together during software evolution. The idea is that if two or more clone fragments from the same class often change together (i.e., are likely to co-change) preserving their similarity, they might be important candidates for refactoring. Merging such clones into one (if possible) can potentially decrease future clone maintenance effort. We define a particular clone change pattern, the Similarity Preserving Change Pattern (SPCP), and consider the cloned fragments that changed according to this pattern (i.e., the SPCP clones) as important candidates for refactoring. For the purpose of our study, we implement a prototype tool called MARC that identifies SPCP clones and mines association rules among these. The rules as well as the SPCP clones are ranked for refactoring on the basis of their change-proneness. We applied MARC on thirteen subject systems and retrieved the refactoring candidates for three types of clones (Type 1, Type 2, and Type 3) separately. Our experimental results show that SPCP clones can be considered important candidates for refactoring. Clones that do not follow SPCP either evolve independently or are rarely changed. By considering SPCP clones for refactoring we not only can minimize refactoring effort considerably but also can reduce the possibility of delayed synchronizations among clones and thus, can minimize inconsistencies in software systems.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121317785","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: 46

A contextual approach for effective recovery of inter-process communication patterns from HPC traces 从HPC跟踪中有效恢复进程间通信模式的上下文方法

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747179

L. Alawneh, A. Hamou-Lhadj, Syed Shariyar Murtaza, Yan Liu

引用次数: 1

Anti-pattern detection with model queries: A comparison of approaches 使用模型查询的反模式检测:方法的比较

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747181

Z. Ujhelyi, Á. Horváth, Dániel Varró, Norbert Istvan Csiszár, Gábor Szoke, László Vidács, R. Ferenc

{"title":"Anti-pattern detection with model queries: A comparison of approaches","authors":"Z. Ujhelyi, Á. Horváth, Dániel Varró, Norbert Istvan Csiszár, Gábor Szoke, László Vidács, R. Ferenc","doi":"10.1109/CSMR-WCRE.2014.6747181","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747181","url":null,"abstract":"Program queries play an important role in several software evolution tasks like program comprehension, impact analysis, or the automated identification of anti-patterns for complex refactoring operations. A central artifact of these tasks is the reverse engineered program model built up from the source code (usually an Semantic Graph, ASG), which is traditionally post-processed by dedicated, hand-coded queries. Our paper investigates the use of the popular industrial Eclipse Modeling Framework (EMF) as an underlying representation of program models processed by three general-purpose model query techniques based on native Java code, local-search and incremental evaluation. We provide in-depth comparison of these techniques on the source code of 17 Java projects using queries taken from refactoring operations in different usage profiles. Our results show that general purpose model queries outperform hand-coded queries by 2-3 orders of magnitude, while there is a 5-10 times increase in memory consumption and model load time. In addition, measurement results of usage profiles can be used as guidelines for selecting the appropriate query technologies in concrete scenarios.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115313585","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: 14

A case study of paired interleaving for evaluating code search techniques 用配对交错法评价代码搜索技术

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747225

Kostadin Damevski, D. Shepherd, L. Pollock

{"title":"A case study of paired interleaving for evaluating code search techniques","authors":"Kostadin Damevski, D. Shepherd, L. Pollock","doi":"10.1109/CSMR-WCRE.2014.6747225","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747225","url":null,"abstract":"Source code search tools are designed to help developers locate code relevant to their task. The effectiveness of a search technique often depends on properties of user queries, the code being searched, and the specific task at hand. Thus, new code search techniques should ideally be evaluated in realistic situations that closely reflect the complexity, purpose of use, and context encountered during actual search sessions. This paper explores what can be learned from using an online paired interleaving approach, originally used for evaluating internet search engines, to comparatively observe and assess the effectiveness of code search tools in the field. We present a case study in which we implemented online paired interleaving for code search, deployed the tool in an IDE for developers at multiple companies, and analyzed results from over 300 user queries during their daily software maintenance tasks. We leveraged the results to direct further improvement of a search technique, redeployed the tool and analyzed results from over 600 queries to validate that an improvement in search was achieved in the field. We also report on the characteristics of user queries collected during the study, which are significantly different than queries currently used in evaluations.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129219290","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: 5

Orchestrating change: An artistic representation of software evolution 编排变更:软件演进的艺术表现

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747192

Shane McIntosh, Katie Legere, A. Hassan

{"title":"Orchestrating change: An artistic representation of software evolution","authors":"Shane McIntosh, Katie Legere, A. Hassan","doi":"10.1109/CSMR-WCRE.2014.6747192","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747192","url":null,"abstract":"Several visualization tools have been proposed to highlight interesting software evolution phenomena. These tools help practitioners to navigate large and complex software systems, and also support researchers in studying software evolution. However, little work has explored the use of sound in the context of software evolution. In this paper, we propose the use of musical interpretation to support exploration of software evolution data. In order to generate music inspired by software evolution, we use parameter-based sonification, i.e., a mapping of dataset characteristics to sound. Our approach yields musical scores that can be played synthetically or by a symphony orchestra. In designing our approach, we address three challenges: (1) the generated music must be aesthetically pleasing, (2) the generated music must accurately reflect the changes that have occurred, and (3) a small group of musicians must be able to impersonate a large development team. We assess the feasibility of our approach using historical data from Eclipse, which yields promising results.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131080609","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

Towards more accurate multi-label software behavior learning 迈向更精确的多标签软件行为学习

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747163

Xin Xia, Yang Feng, D. Lo, Zhenyu Chen, Xinyu Wang

{"title":"Towards more accurate multi-label software behavior learning","authors":"Xin Xia, Yang Feng, D. Lo, Zhenyu Chen, Xinyu Wang","doi":"10.1109/CSMR-WCRE.2014.6747163","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747163","url":null,"abstract":"In a modern software system, when a program fails, a crash report which contains an execution trace would be sent to the software vendor for diagnosis. A crash report which corresponds to a failure could be caused by multiple types of faults simultaneously. Many large companies such as Baidu organize a team to analyze these failures, and classify them into multiple labels (i.e., multiple types of faults). However, it would be time-consuming and difficult for developers to manually analyze these failures and come out with appropriate fault labels. In this paper, we automatically classify a failure into multiple types of faults, using a composite algorithm named MLL-GA, which combines various multi-label learning algorithms by leveraging genetic algorithm (GA). To evaluate the effectiveness of MLL-GA, we perform experiments on 6 open source programs and show that MLL-GA could achieve average F-measures of 0.6078 to 0.8665. We also compare our algorithm with Ml.KNN and show that on average across the 6 datasets, MLL-GA improves the average F-measure of MI.KNN by 14.43%.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134114715","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: 34

CHOREOS: Large scale choreographies for the future internet CHOREOS:面向未来互联网的大规模编舞

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747202

M. Autili, P. Inverardi, Massimo Tivoli

引用次数: 34

Bit-error injection for software developers 针对软件开发人员的误码注入

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747212

Marcel Heing-Becker, Timo Kamph, S. Schupp

引用次数: 2

Broken promises: An empirical study into evolution problems in Java programs caused by library upgrades 未兑现的承诺:对库升级引起的Java程序演化问题的实证研究

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747226

Jens Dietrich, Kamil Jezek, Přemek Brada

{"title":"Broken promises: An empirical study into evolution problems in Java programs caused by library upgrades","authors":"Jens Dietrich, Kamil Jezek, Přemek Brada","doi":"10.1109/CSMR-WCRE.2014.6747226","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747226","url":null,"abstract":"It has become common practice to build programs by using libraries. While the benefits of reuse are well known, an often overlooked risk are system runtime failures due to API changes in libraries that evolve independently. Traditionally, the consistency between a program and the libraries it uses is checked at build time when the entire system is compiled and tested. However, the trend towards partially upgrading systems by redeploying only evolved library versions results in situations where these crucial verification steps are skipped. For Java programs, partial upgrades create additional interesting problems as the compiler and the virtual machine use different rule sets to enforce contracts between the providers and the consumers of APIs. We have studied the extent of the problem on the qualitas corpus, a data set consisting of Java open-source programs widely used in empirical studies. In this paper, we describe the study and report its key findings. We found that the above mentioned issues do occur in practice, albeit not on a wide scale.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572252","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: 65

Detecting infeasible branches based on code patterns 根据代码模式检测不可行的分支

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) Pub Date : 2014-02-27 DOI: 10.1109/CSMR-WCRE.2014.6747227

Sun Ding, Hongyu Zhang, Hee Beng Kuan Tan

{"title":"Detecting infeasible branches based on code patterns","authors":"Sun Ding, Hongyu Zhang, Hee Beng Kuan Tan","doi":"10.1109/CSMR-WCRE.2014.6747227","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747227","url":null,"abstract":"Infeasible branches are program branches that can never be exercised regardless of the inputs of the program. Detecting infeasible branches is important to many software engineering tasks such as test case generation and test coverage measurement. Applying full-scale symbolic evaluation to infeasible branch detection could be very costly, especially for a large software system. In this work, we propose a code pattern based method for detecting infeasible branches. We first introduce two general patterns that can characterize the source code containing infeasible branches. We then develop a tool, called Pattern-based method for Infeasible branch Detection (PIND), to detect infeasible branches based on the discovered code patterns. PIND only performs symbolic evaluation for the branches that exhibit the identified code patterns, therefore significantly reduce the number of symbolic evaluations required. We evaluate PIND from two aspects: accuracy and efficiency. The experimental results show that PIND can effectively and efficiently detect infeasible branches in real-world Java and Android programs. We also explore the application of PIND in measuring test case coverage,","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129684026","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: 8