2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)最新文献_第5页

Bash2py: A bash to Python translator Bash2py: bash到Python的翻译器

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081866

I. Davis, Mike Wexler, Cheng Zhang, R. Holt, Theresa Weber

{"title":"Bash2py: A bash to Python translator","authors":"I. Davis, Mike Wexler, Cheng Zhang, R. Holt, Theresa Weber","doi":"10.1109/SANER.2015.7081866","DOIUrl":"https://doi.org/10.1109/SANER.2015.7081866","url":null,"abstract":"Shell scripting is the primary way for programmers to interact at a high level with operating systems. For decades bash shell scripts have thus been used to accomplish various tasks. But Bash has a counter-intuitive syntax that is not well understood by modern programmers and is no longer adequately supported, making it now difficult to maintain. Bash also suffers from poor performance, memory leakage problems, and limited functionality which make continued dependence on it problematic. At the request of our industrial partner, we therefore developed a source-to-source translator, bash2py, which converts bash scripts into Python. Bash2py leverages the open source bash code, and the internal parser employed by Bash to parse any bash script. However, bash2py re-implements the variable expansion that occurs in Bash to better generate correct Python code. Bash2py correctly converts most Bash into Python, but does require human intervention to handle constructs that cannot easily be automatically translated. In our experiments on real-world open source bash scripts bash2py successfully translates 90% of the code. Feedback from our industrial partner confirms the usefulness of bash2py in practice.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121198331","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

Optimized feature selection towards functional and non-functional requirements in Software Product Lines 针对软件产品线中功能性和非功能性需求的优化特性选择

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081829

Xiaoli Lian, Li Zhang

{"title":"Optimized feature selection towards functional and non-functional requirements in Software Product Lines","authors":"Xiaoli Lian, Li Zhang","doi":"10.1109/SANER.2015.7081829","DOIUrl":"https://doi.org/10.1109/SANER.2015.7081829","url":null,"abstract":"As an important research issue in software product line, feature selection is extensively studied. Besides the basic functional requirements (FRs), the non-functional requirements (NFRs) are also critical during feature selection. Some NFRs have numerical constraints, while some have not. Without clear criteria, the latter are always expected to be the best possible. However, most existing selection methods ignore the combination of constrained and unconstrained NFRs and FRs. Meanwhile, the complex constraints and dependencies among features are perpetual challenges for feature selection. To this end, this paper proposes a multi-objective optimization algorithm IVEA to optimize the selection of features with NFRs and FRs by considering the relations among these features. Particularly, we first propose a two-dimensional fitness function. One dimension is to optimize the NFRs without quantitative constraints. The other one is to assure the selected features satisfy the FRs, and conform to the relations among features. Second, we propose a violation-dominance principle, which guides the optimization under FRs and the relations among features. We conducted comprehensive experiments on two feature models with different sizes to evaluate IVEA with state-of-the-art multi-objective optimization algorithms, including IBEAHD, IBEAε+, NSGA-II and SPEA2. The results showed that the IVEA significantly outperforms the above baselines in the NFRs optimization. Meanwhile, our algorithm needs less time to generate a solution that meets the FRs and the constraints on NFRs and fully conforms to the feature model.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121754427","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

The influence of App churn on App success and StackOverflow discussions 应用流失率对应用成功的影响和StackOverflow讨论

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081842

Latifa Guerrouj, S. Azad, Peter C. Rigby

{"title":"The influence of App churn on App success and StackOverflow discussions","authors":"Latifa Guerrouj, S. Azad, Peter C. Rigby","doi":"10.1109/SANER.2015.7081842","DOIUrl":"https://doi.org/10.1109/SANER.2015.7081842","url":null,"abstract":"Gauging the success of software systems has been difficult in the past as there was no uniform measure. With mobile Application (App) Stores, users rate each App according to a common rating scheme. In this paper, we study the impact of App churn on the App success through the analysis of 154 free Android Apps that have a total of 1.2k releases. We provide a novel technique to extract Android API elements used by Apps that developers change between releases. We find that high App churn leads to lower user ratings. For example, we find that on average, per release, poorly rated Apps change 140 methods compared to the 82 methods changed by positively rated Apps. Our findings suggest that developers should not release new features at the expense of churn and user ratings. We also investigate the link between how frequently API classes and methods are changed by App developers relative to the amount of discussion of these code elements on StackOverflow. Our findings indicate that classes and methods that are changed frequently by App developers are in more posts on StackOverflow. We add to the growing consensus that StackOverflow keeps up with the documentation needs of practitioners.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128255774","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: 49

Software architecture reconstruction: Why? What? How? 软件架构重构:为什么?怎么啦？如何?

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081885

Mehdi Mirakhorli

引用次数: 4

SQA-Profiles: Rule-based activity profiles for Continuous Integration environments sqa概要文件:持续集成环境中基于规则的活动概要文件

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081840

M. Brandtner, Sebastian C. Müller, P. Leitner, H. Gall

{"title":"SQA-Profiles: Rule-based activity profiles for Continuous Integration environments","authors":"M. Brandtner, Sebastian C. Müller, P. Leitner, H. Gall","doi":"10.1109/SANER.2015.7081840","DOIUrl":"https://doi.org/10.1109/SANER.2015.7081840","url":null,"abstract":"Continuous Integration (CI) environments cope with the repeated integration of source code changes and provide rapid feedback about the status of a software project. However, as the integration cycles become shorter, the amount of data increases, and the effort to find information in CI environments becomes substantial. In modern CI environments, the selection of measurements (e.g., build status, quality metrics) listed in a dashboard does only change with the intervention of a stakeholder (e.g., a project manager). In this paper, we want to address the shortcoming of static views with so-called Software Quality Assessment (SQA) profiles. SQA-Profiles are defined as rule-sets and enable a dynamic composition of CI dashboards based on stakeholder activities in tools of a CI environment (e.g., version control system). We present a set of SQA-Profiles for project management committee (PMC) members: Bandleader, Integrator, Gatekeeper, and Onlooker. For this, we mined the commit and issue management activities of PMC members from 20 Apache projects. We implemented a framework to evaluate the performance of our rule-based SQA-Profiles in comparison to a machine learning approach. The results showed that project-independent SQA-Profiles can be used to automatically extract the profiles of PMC members with a precision of 0.92 and a recall of 0.78.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127202809","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

TextRank based search term identification for software change tasks 基于TextRank的软件变更任务搜索词识别

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081873

M. M. Rahman, C. Roy

引用次数: 18

Mining Multi-level API Usage Patterns 挖掘多层次API使用模式

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081812

M. Saied, Omar Benomar, H. Abdeen, H. Sahraoui

引用次数: 59

TRACERJD: Generic trace-based dynamic dependence analysis with fine-grained logging TRACERJD:使用细粒度日志记录的通用的基于跟踪的动态依赖分析

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081862

Haipeng Cai, Raúl A. Santelices

引用次数: 11

Cross-project build co-change prediction 跨项目构建共变更预测

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081841

Xin Xia, D. Lo, Shane McIntosh, Emad Shihab, A. Hassan

{"title":"Cross-project build co-change prediction","authors":"Xin Xia, D. Lo, Shane McIntosh, Emad Shihab, A. Hassan","doi":"10.1109/SANER.2015.7081841","DOIUrl":"https://doi.org/10.1109/SANER.2015.7081841","url":null,"abstract":"Build systems orchestrate how human-readable source code is translated into executable programs. In a software project, source code changes can induce changes in the build system (aka. build co-changes). It is difficult for developers to identify when build co-changes are necessary due to the complexity of build systems. Prediction of build co-changes works well if there is a sufficient amount of training data to build a model. However, in practice, for new projects, there exists a limited number of changes. Using training data from other projects to predict the build co-changes in a new project can help improve the performance of the build co-change prediction. We refer to this problem as cross-project build co-change prediction. In this paper, we propose CroBuild, a novel cross-project build co-change prediction approach that iteratively learns new classifiers. CroBuild constructs an ensemble of classifiers by iteratively building classifiers and assigning them weights according to its prediction error rate. Given that only a small proportion of code changes are build co-changing, we also propose an imbalance-aware approach that learns a threshold boundary between those code changes that are build co-changing and those that are not in order to construct classifiers in each iteration. To examine the benefits of CroBuild, we perform experiments on 4 large datasets including Mozilla, Eclipse-core, Lucene, and Jazz, comprising a total of 50,884 changes. On average, across the 4 datasets, CroBuild achieves a F1-score of up to 0.408. We also compare CroBuild with other approaches such as a basic model, AdaBoost proposed by Freund et al., and TrAdaBoost proposed by Dai et al.. On average, across the 4 datasets, the CroBuild approach yields an improvement in F1-scores of 41.54%, 36.63%, and 36.97% over the basic model, AdaBoost, and TrAdaBoost, respectively.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124148498","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

Taint analysis of manual service compositions using Cross-Application Call Graphs 使用跨应用程序调用图对手工服务组合进行污点分析

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI: 10.1109/SANER.2015.7081882

Marc-André Laverdière, Bernhard J. Berger, E. Merlo

引用次数: 2