2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)最新文献_第6页

Does the release cycle of a library project influence when it is adopted by a client project? 库项目的发布周期是否会影响它何时被客户端项目采用?

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884681

Daiki Fujibayashi, Akinori Ihara, H. Suwa, R. Kula, Ken-ichi Matsumoto

引用次数: 2

Query Construction Patterns in PHP PHP中的查询构造模式

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884652

David Anderson, M. Hills

引用次数: 11

Improving fault localization for Simulink models using search-based testing and prediction models 使用基于搜索的测试和预测模型改进Simulink模型的故障定位

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884636

Bing Liu, Lucia, S. Nejati, L. Briand

{"title":"Improving fault localization for Simulink models using search-based testing and prediction models","authors":"Bing Liu, Lucia, S. Nejati, L. Briand","doi":"10.1109/SANER.2017.7884636","DOIUrl":"https://doi.org/10.1109/SANER.2017.7884636","url":null,"abstract":"One promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. In many practical situations, adding test cases is not a cost-free option because test oracles are developed manually or running test cases is expensive. Hence, we require to have test suites that are both diverse and small to improve debugging. In this paper, we focus on improving fault localization of Simulink models by generating test cases. We identify three test objectives that aim to increase test suite diversity. We use these objectives in a search-based algorithm to generate diversified but small test suites. To further minimize test suite sizes, we develop a prediction model to stop test generation when adding test cases is unlikely to improve fault localization. We evaluate our approach using three industrial subjects. Our results show (1) the three selected test objectives are able to significantly improve the accuracy of fault localization for small test suite sizes, and (2) our prediction model is able to maintain almost the same fault localization accuracy while reducing the average number of newly generated test cases by more than half.","PeriodicalId":6541,"journal":{"name":"2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"82 1","pages":"359-370"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72906869","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: 42

srcQL: A syntax-aware query language for source code srcQL:一种支持语法的源代码查询语言

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884655

Brian Bartman, Christian D. Newman, M. Collard, Jonathan I. Maletic

引用次数: 7

Business process recovery based on system log and information of organizational structure 基于系统日志和组织结构信息的业务流程恢复

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884668

Ryota Mibe, Tadashi Tanaka, Takashi Kobayashi, Shingo Kobayashi

引用次数: 0

Recommending source code locations for system specific transformations 为系统特定转换推荐源代码位置

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884618

Gustavo Santos, K. V. R. Paixão, N. Anquetil, Anne Etien, M. Maia, Stéphane Ducasse

{"title":"Recommending source code locations for system specific transformations","authors":"Gustavo Santos, K. V. R. Paixão, N. Anquetil, Anne Etien, M. Maia, Stéphane Ducasse","doi":"10.1109/SANER.2017.7884618","DOIUrl":"https://doi.org/10.1109/SANER.2017.7884618","url":null,"abstract":"From time to time, developers perform sequences of code transformations in a systematic and repetitive way. This may happen, for example, when introducing a design pattern in a legacy system: similar classes have to be introduced, containing similar methods that are called in a similar way. Automation of these sequences of transformations has been proposed in the literature to avoid errors due to their repetitive nature. However, developers still need support to identify all the relevant code locations that are candidate for transformation. Past research showed that these kinds of transformation can lag for years with forgotten instances popping out from time to time as other evolutions bring them into light. In this paper, we evaluate three distinct code search approaches (“structural”, based on Information Retrieval, and AST based algorithm) to find code locations that would require similar transformations. We validate the resulting candidate locations from these approaches on real cases identified previously in literature. The results show that looking for code with similar roles, e.g., classes in the same hierarchy, provides interesting results with an average recall of 87% and in some cases the precision up to 70%.","PeriodicalId":6541,"journal":{"name":"2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"55 1","pages":"160-170"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85639247","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: 9

Why do we break APIs? First answers from developers 为什么我们要破坏api ?开发者的第一个答案

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884640

Laerte Xavier, André C. Hora, M. T. Valente

引用次数: 16

Automatically generating natural language descriptions for object-related statement sequences 为对象相关语句序列自动生成自然语言描述

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884622

Xiaoran Wang, L. Pollock, K. Vijay-Shanker

{"title":"Automatically generating natural language descriptions for object-related statement sequences","authors":"Xiaoran Wang, L. Pollock, K. Vijay-Shanker","doi":"10.1109/SANER.2017.7884622","DOIUrl":"https://doi.org/10.1109/SANER.2017.7884622","url":null,"abstract":"Current source code analyses driving software maintenance tools treat methods as either a single unit or a set of individual statements or words. They often leverage method names and any existing internal comments. However, internal comments are rare, and method names do not typically capture the method's multiple high-level algorithmic steps that are too small to be a single method, but require more than one statement to implement. Previous work demonstrated feasibility of identifying high level actions automatically for loops; however, many high level actions remain unaddressed and undocumented, particularly sequences of consecutive statements that are associated with each other primarily by object references. We call these object-related action units. In this paper, we present an approach to automatically generate natural language descriptions of object-related action units within methods. We leverage the available, large source of high-quality open source projects to learn the templates of object-related actions, identify the statement that can represent the main action, and generate natural language descriptions for these actions. Our evaluation study of a set of 100 object-related statement sequences showed promise of our approach to automatically identify the action and arguments and generate natural language descriptions.","PeriodicalId":6541,"journal":{"name":"2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"24 1","pages":"205-216"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79956674","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: 31

Cloud-based parallel concolic execution 基于云的并行聚合执行

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884649

Ting Chen, Youzheng Feng, Xiapu Luo, Xiaodong Lin, Xiaosong Zhang

{"title":"Cloud-based parallel concolic execution","authors":"Ting Chen, Youzheng Feng, Xiapu Luo, Xiaodong Lin, Xiaosong Zhang","doi":"10.1109/SANER.2017.7884649","DOIUrl":"https://doi.org/10.1109/SANER.2017.7884649","url":null,"abstract":"Path explosion is one of the biggest challenges hindering the wide application of concolic execution. Although several parallel approaches have been proposed to accelerate concolic execution, they neither scale well nor properly handle resource fluctuations and node failures, which often happen in practice. In this paper, we propose a novel approach, named PACCI, which parallelizes concolic execution and adapts to the drastic changes of computing resources by leveraging cloud infrastructures. PACCI tailors concolic execution to the MapReduce programming model and takes into account the features of cloud infrastructures. In particular, we tackle several challenging issues, such as making the exploration of different program paths independently and constructing an extensible path exploration module to support the prioritization of test inputs from a global perspective. Preliminary experimental results show that PACCI is scalable (e.g., gaining about 20× speedup using 24 nodes) and its efficiency declines slightly about 5% and 6.1% under resource fluctuations and node failures, respectively.","PeriodicalId":6541,"journal":{"name":"2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"76 5 1","pages":"437-441"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80260888","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

How to gamify software engineering 如何将软件工程游戏化

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI: 10.1109/SANER.2017.7884627

Tommaso Dal Sasso, Andrea Mocci, Michele Lanza, E. Mastrodicasa

引用次数: 34