2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)最新文献_第4页

Co-evolving code-related and database-related changes in a data-intensive software system 在数据密集型软件系统中，与代码相关和与数据库相关的共同演进的变化

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.2014.6747193

M. Goeminne, Alexandre Decan, T. Mens

引用次数: 20

Transition and defect patterns of components in dependency cycles during software evolution 软件演化过程中依赖循环中组件的转换和缺陷模式

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.2014.6747180

Tosin Daniel Oyetoyan, D. Cruzes, R. Conradi

{"title":"Transition and defect patterns of components in dependency cycles during software evolution","authors":"Tosin Daniel Oyetoyan, D. Cruzes, R. Conradi","doi":"10.1109/CSMR-WCRE.2014.6747180","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747180","url":null,"abstract":"The challenge to break existing cyclically connected components of running software is not trivial. Since it involves planning and human resources to ensure that the software behavior is preserved after refactoring activity. Therefore, to motivate refactoring it is essential to obtain evidence of the benefits to the product quality. This study investigates the defect-proneness patterns of cyclically connected components vs. noncyclic ones when they transition across software releases. We have mined and classified software components into two groups and two transition states-the cyclic and the non-cyclic ones. Next, we have performed an empirical study of four software systems from evolutionary perspective. Using standard statistical tests on formulated hypotheses, we have determined the significance of the defect profiles and complexities of each group. The results show that during software evolution, components that transition between dependency cycles have higher probability to be defect-prone than those that transition outside of cycles. Furthermore, out of the three complexity variables investigated, we found that an increase in the class reachability set size tends to be more associated with components that turn defective when they transition between dependency cycles. Lastly, we found no evidence of any systematic “cycle-breaking” refactoring between releases of the software systems. Thus, these findings motivate for refactoring of components in dependency cycle taking into account the minimization of metrics such as the class reachability set size.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"37 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":"123788884","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

FITTEST: A new continuous and automated testing process for future Internet applications FITTEST:为未来的互联网应用程序提供一个新的连续和自动化的测试过程

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.2014.6747206

T. Vos, P. Tonella, Wishnu Prasetya, Peter M. Kruse, A. Bagnato, M. Harman, O. Shehory

引用次数: 12

Cross-project defect prediction models: L'Union fait la force 跨项目缺陷预测模型:L'Union fait la force

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.2014.6747166

Annibale Panichella, R. Oliveto, A. D. Lucia

{"title":"Cross-project defect prediction models: L'Union fait la force","authors":"Annibale Panichella, R. Oliveto, A. D. Lucia","doi":"10.1109/CSMR-WCRE.2014.6747166","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747166","url":null,"abstract":"Existing defect prediction models use product or process metrics and machine learning methods to identify defect-prone source code entities. Different classifiers (e.g., linear regression, logistic regression, or classification trees) have been investigated in the last decade. The results achieved so far are sometimes contrasting and do not show a clear winner. In this paper we present an empirical study aiming at statistically analyzing the equivalence of different defect predictors. We also propose a combined approach, coined as CODEP (COmbined DEfect Predictor), that employs the classification provided by different machine learning techniques to improve the detection of defect-prone entities. The study was conducted on 10 open source software systems and in the context of cross-project defect prediction, that represents one of the main challenges in the defect prediction field. The statistical analysis of the results indicates that the investigated classifiers are not equivalent and they can complement each other. This is also confirmed by the superior prediction accuracy achieved by CODEP when compared to stand-alone defect predictors.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"59 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113981277","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: 166

Model inference and security testing in the spacios project 空间系统项目中的模型推理和安全测试

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.2014.6747207

Matthias Büchler, Karim Hossen, Petru Florin Mihancea, M. Minea, Roland Groz, Catherine Oriat

引用次数: 11

Supporting continuous integration by mashing-up software quality information 通过混搭软件质量信息来支持持续集成

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.2014.6747169

M. Brandtner, E. Giger, H. Gall

{"title":"Supporting continuous integration by mashing-up software quality information","authors":"M. Brandtner, E. Giger, H. Gall","doi":"10.1109/CSMR-WCRE.2014.6747169","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747169","url":null,"abstract":"Continuous Integration (CI) has become an established best practice of modern software development. Its philosophy of regularly integrating the changes of individual developers with the mainline code base saves the entire development team from descending into Integration Hell, a term coined in the field of extreme programming. In practice CI is supported by automated tools to cope with this repeated integration of source code through automated builds, testing, and deployments. Currently available products, for example, Jenkins-CI, SonarQube or GitHub, allow for the implementation of a seamless CI-process. One of the main problems, however, is that relevant information about the quality and health of a software system is both scattered across those tools and across multiple views. We address this challenging problem by raising awareness of quality aspects and tailor this information to particular stakeholders, such as developers or testers. For that we present a quality awareness framework and platform called SQA-Mashup. It makes use of the service-based mashup paradigm and integrates information from the entire CI-toolchain in a single service. To evaluate its usefulness we conducted a user study. It showed that SQA-Mashup's single point of access allows to answer questions regarding the state of a system more quickly and accurately than standalone CI-tools.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"24 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":"125847287","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: 24

Test suite reduction for fault detection and localization: A combined approach 用于故障检测和定位的测试套件缩减:一种组合方法

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.2014.6747172

László Vidács, Árpád Beszédes, Dávid Tengeri, István Siket, T. Gyimóthy

{"title":"Test suite reduction for fault detection and localization: A combined approach","authors":"László Vidács, Árpád Beszédes, Dávid Tengeri, István Siket, T. Gyimóthy","doi":"10.1109/CSMR-WCRE.2014.6747172","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747172","url":null,"abstract":"The relation of test suites and actual faults in a software is of critical importance for timely product release. There are two particularily critical properties of test suites to this end: fault localization capability, to characterize the effort of finding the actually defective program elements, and fault detection capability which measures how probable is their manifestation and detection in the first place. While there are well established methods to predict fault detection capability (by measuring code coverage, for instance), characterization of fault localization is an emerging research topic. In this work, we investigate the effect of different test reduction methods on the performance of fault localization and detection techniques. We also provide new combined methods that incorporate both localization and detection aspects. We empirically evaluate the methods first by measuring detection and localization metrics of test suites with various reduction sizes, followed by how reduced test suites perform with actual faults. We experiment with SIR programs traditionally used in fault localization research, and extend the case study with large industrial software systems including GCC and WebKit.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"29 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":"128519265","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: 23

Automated construction of a software-specific word similarity database 自动构建特定于软件的单词相似度数据库

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.2014.6747213

Yuan Tian, D. Lo, J. Lawall

{"title":"Automated construction of a software-specific word similarity database","authors":"Yuan Tian, D. Lo, J. Lawall","doi":"10.1109/CSMR-WCRE.2014.6747213","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747213","url":null,"abstract":"Many automated software engineering approaches, including code search, bug report categorization, and duplicate bug report detection, measure similarities between two documents by analyzing natural language contents. Often different words are used to express the same meaning and thus measuring similarities using exact matching of words is insufficient. To solve this problem, past studies have shown the need to measure the similarities between pairs of words. To meet this need, the natural language processing community has built WordNet which is a manually constructed lexical database that records semantic relations among words and can be used to measure how similar two words are. However, WordNet is a general purpose resource, and often does not contain software-specific words. Also, the meanings of words in WordNet are often different than when they are used in software engineering context. Thus, there is a need for a software-specific WordNet-like resource that can measure similarities of words. In this work, we propose an automated approach that builds a software-specific WordNet like resource, named WordSimSEDB, by leveraging the textual contents of posts in StackOverflow. Our approach measures the similarity of words by computing the similarities of the weighted co-occurrences of these words with three types of words in the textual corpus. We have evaluated our approach on a set of software-specific words and compared our approach with an existing WordNet-based technique (WordNetres) to return top-k most similar words. Human judges are used to evaluate the effectiveness of the two techniques. We find that WordNetres returns no result for 55 % of the queries. For the remaining queries, WordNetres returns significantly poorer results.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"23 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":"132969070","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: 89

Improving the detection accuracy of evolutionary coupling by measuring change correspondence 通过测量变化对应关系来提高进化耦合的检测精度

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.2014.6747194

Manishankar Mondal, C. Roy, Kevin A. Schneider

{"title":"Improving the detection accuracy of evolutionary coupling by measuring change correspondence","authors":"Manishankar Mondal, C. Roy, Kevin A. Schneider","doi":"10.1109/CSMR-WCRE.2014.6747194","DOIUrl":"https://doi.org/10.1109/CSMR-WCRE.2014.6747194","url":null,"abstract":"If two or more program entities change together (i.e., co-change) frequently (i.e., in many commits) during software evolution, it is likely that the entities are related and we say that the entities are showing evolutionary coupling. Association rules have been used to express evolutionary coupling and two related measures, support and confidence, have been used to measure the strength of coupling among the co-changed entities. However, an association rule relies only on the number of times the entities have co-changed. It does not analyze whether the changes are corresponding and whether the entities are really related. As a result, association rule often reports false positives and also, ignores important coupling among the infrequently co-changed entities. Focusing on this issue we propose to calculate a new measure, change correspondence, blending the idea of concept location in a code-base to determine whether the changes to the co-changed entities are corresponding and thus, whether they are really related. Our preliminary investigation result on four subject systems written in two programming languages shows that change correspondence has the potential to accurately determine whether two entities are related even if they co-changed infrequently. Thus, we believe that our new measure will help us improve the detection accuracy of evolutionary coupling.","PeriodicalId":166271,"journal":{"name":"2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)","volume":"128 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":"134074729","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: 16

Towards recovering and exploiting domain knowledge from C code: A case study on automotive software 从C代码中恢复和利用领域知识:以汽车软件为例

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.2014.6747200

Jochen Quante, Mohammed Tarabain, J. Siegmund

引用次数: 1