2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)最新文献_第8页

Comparing Constraints Mined From Execution Logs to Understand Software Evolution 比较从执行日志中挖掘的约束来理解软件演化

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00082

Thomas Krismayer, Michael Vierhauser, Rick Rabiser, P. Grünbacher

{"title":"Comparing Constraints Mined From Execution Logs to Understand Software Evolution","authors":"Thomas Krismayer, Michael Vierhauser, Rick Rabiser, P. Grünbacher","doi":"10.1109/ICSME.2019.00082","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00082","url":null,"abstract":"Complex software systems evolve frequently, e.g., when introducing new features or fixing bugs during maintenance. However, understanding the impact of such changes on system behavior is often difficult. Many approaches have thus been proposed that analyze systems before and after changes, e.g., by comparing source code, model-based representations, or system execution logs. In this paper, we propose an approach for comparing run-time constraints, synthesized by a constraint mining algorithm, based on execution logs recorded before and after changes. Specifically, automatically mined constraints define the expected timing and order of recurring events and the values of data elements attached to events. Our approach presents the differences of the mined constraints to users, thereby providing a higher-level view on software evolution and supporting the analysis of the impact of changes on system behavior. We present a motivating example and a preliminary evaluation based on a cyber-physical system controlling unmanned aerial vehicles. The results of our preliminary evaluation show that our approach can help to analyze changed behavior and thus contributes to understanding software evolution.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129024669","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

Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression 基于傅里叶学习和Lasso回归的高度可配置软件性能影响模型

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00080

Huong Ha, Hongyu Zhang

{"title":"Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression","authors":"Huong Ha, Hongyu Zhang","doi":"10.1109/ICSME.2019.00080","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00080","url":null,"abstract":"Many software systems are highly configurable, which provide a large number of configuration options for users to choose from. During the maintenance and operation of these configurable systems, it is important to estimate the system performance under any specific configurations and understand the performance-influencing configuration options. However, it is often not feasible to measure the system performance under all the possible configurations as the combination of configurations could be exponential. In this paper, we propose PerLasso, a performance modeling and prediction method based on Fourier Learning and Lasso (Least absolute shrinkage and selection operator) regression techniques. Using a small sample of measured performance values of a configurable system, PerLasso produces a performance-influence model, which can 1) predict system performance under a new configuration; 2) explain the influence of the individual features and their interactions on the software performance. Besides, to reduce the number of Fourier coefficients to be estimated for large-scale systems, we also design a novel dimension reduction algorithm. Our experimental results on four synthetic and six real-world datasets confirm the effectiveness of our approach. Compared to the existing performance-influence models, our models have higher or comparable prediction accuracy.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134527342","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: 21

Identifying the Within-Statement Changes to Facilitate Change Understanding 识别报表内的变化，以促进变化的理解

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00030

Chunhua Yang, E. J. Whitehead

{"title":"Identifying the Within-Statement Changes to Facilitate Change Understanding","authors":"Chunhua Yang, E. J. Whitehead","doi":"10.1109/ICSME.2019.00030","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00030","url":null,"abstract":"As current tree-differencing approaches ignore changes that occur within a statement or do not present them in an abstract way, it is difficult to automatically understand revisions involving statement updates. We propose a tree-differencing approach to identifying the within-statement changes. It calculates edit operations based on an element-sensitive strategy and the longest common sequence algorithm. Then, it generates the metadata for each edit operation. Meta-data include the type of operation, the type of entity and the name of the element part, the content, the content pattern and all references involved. We have implemented the approach as a free accessible tool. It is built upon ChangeDistiller and refines its statement-update type. Finally, to demonstrate how to use the proposed approach for change understanding, we studied the condition-expression changes in four open projects. We analyzed the non-essential condition changes, the effective changes that definitely affect the condition, and other changes. The results show that for revisions with condition-expression changes, nearly 20% contain non-essential changes, while more than 60% have effective changes. Furthermore, we found many common patterns. For example, we found that half of the revisions with effective changes were caused by adding or removing expressions in logical expressions. And, in these revisions, 47% enhanced the condition, while 49% weakened it.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133708164","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

Improving Bug Triaging with High Confidence Predictions at Ericsson 改进Bug分类与爱立信的高可信度预测

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00018

Aindrila Sarkar, Peter C. Rigby, Béla Bartalos

{"title":"Improving Bug Triaging with High Confidence Predictions at Ericsson","authors":"Aindrila Sarkar, Peter C. Rigby, Béla Bartalos","doi":"10.1109/ICSME.2019.00018","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00018","url":null,"abstract":"Correctly assigning bugs to the right developer or team, i.e. bug triaging, is a costly activity. A concerted effort at Ericsson has been done to adopt automated bug triaging to reduce development costs. In this work, we replicate the research approaches that have been widely used in the literature. We apply them on over 10k bug reports for 9 large products at Ericsson. We find that a logistic regression classifier including the simple textual and categorical attributes of the bug reports has the highest precision and recall of 78.09% and 79.00%, respectively. Ericsson's bug reports often contain logs that have crash dumps and alarms. We add this information to the bug triage models. We find that this information does not improve the precision and recall of bug triaging in Ericsson's context. Although our models perform as well as the best ones reported in the literature, a criticism of bug triaging at Ericsson is that the accuracy is not sufficient for regular use. We develop a novel approach where we only triage bugs when the model has high confidence in the triage prediction. We find that we improve the accuracy to 90%, but we can make predictions for 62% of the bug reports.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111159","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

An Empirical Study of UI Implementations in Android Applications Android应用中UI实现的实证研究

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00016

Mian Wan, Negarsadat Abolhassani, Ali S. Alotaibi, William G. J. Halfond

引用次数: 3

The Relationship Between Cognitive Complexity and the Probability of Defects 认知复杂性与缺陷概率的关系

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00095

Basma S. Alqadi

引用次数: 4

Impact Analysis of Syntactic and Semantic Similarities on Patch Prioritization in Automated Program Repair 自动程序修复中语法和语义相似性对补丁优先级的影响分析

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00050

Moumita Asad, Kishan Kumar Ganguly, K. Sakib

引用次数: 14

Investigating Context Adaptation Bugs in Code Clones 调查代码克隆中的上下文适应错误

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00026

Manishankar Mondal, B. Roy, C. Roy, Kevin A. Schneider

{"title":"Investigating Context Adaptation Bugs in Code Clones","authors":"Manishankar Mondal, B. Roy, C. Roy, Kevin A. Schneider","doi":"10.1109/ICSME.2019.00026","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00026","url":null,"abstract":"The identical or nearly similar code fragments in a code-base are called code clones. There is a common belief that code cloning (copy/pasting code fragments) can introduce bugs in a software system if the copied code fragments are not properly adapted to their contexts (i.e., surrounding code). However, none of the existing studies have investigated whether such bugs are really present in code clones. We denote these bugs as Context Adaptation Bugs, or simply Context-Bugs, in our paper and investigate the extent to which they can be present in code clones. We define and automatically analyze two clone evolutionary patterns that indicate fixing of Context-Bugs. According to our analysis on thousands of revisions of six open-source subject systems written in Java, C, and C#, code cloning often introduces Context-Bugs in software systems. Around 50% of the clone related bug-fixes can occur for fixing Context-Bugs. Cloning (copy/pasting) a newly created code fragment (i.e., a code fragment that was not added in a former revision) is more likely to introduce Context-Bugs compared to cloning a preexisting fragment (i.e., a code fragment that was added in a former revision). Moreover, cloning across different files appears to have a significantly higher tendency of introducing Context-Bugs compared to cloning within the same file. Finally, Type 3 clones (gapped clones) have the highest tendency of containing Context-Bugs among the three major clone-types. Our findings can be important for early detection as well as removal of Context-Bugs in code clones.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121114855","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

Improving the Robustness and Efficiency of Continuous Integration and Deployment 提高持续集成和部署的健壮性和效率

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00099

Keheliya Gallaba

引用次数: 5

Lib Metamorphosis: A Performance Analysis Framework for Exchanging Data Structures in Performance Sensitive Applications Lib Metamorphosis:在性能敏感应用程序中交换数据结构的性能分析框架

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI: 10.1109/ICSME.2019.00063

Michael D. Shah

{"title":"Lib Metamorphosis: A Performance Analysis Framework for Exchanging Data Structures in Performance Sensitive Applications","authors":"Michael D. Shah","doi":"10.1109/ICSME.2019.00063","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00063","url":null,"abstract":"When software does not meet performance requirements, difficult decisions are made to change central data structures which may be costly financially and increase development time. In addition, monitoring how these data structures are used, and trying to understand performance implications of any change may prevent any evolution of the original infrastructure. Thus, radical revisions to software may be avoided due to the barriers of time and engineering complexity costs. Our solution to helping developers make infrastructure changes to improve performance is to provide a refactoring tool where developers may swap data structures. Our tool preserves correctness by utilizing the software's test suite and also measures performance automatically of the swapped data structure. We believe there is need for such a tool to help encourage more radical revisions and experimentation in large software projects to improve performance. Our frameworks success will be evaluated based on preserving the correctness of the software within a developer created test suite while providing performance information based on modified data structures.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127223374","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: 0