2007 IEEE International Conference on Software Maintenance最新文献_第4页

Assessing Legacy System Migration Technologies through Controlled Experiments 通过控制实验评估遗留系统迁移技术

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362649

Massimo Colosimo, A. D. Lucia, R. Francese, G. Scanniello

引用次数: 6

Extracting Error Handling to Aspects: A Cookbook 将错误处理提取到方面:一本食谱

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362626

F. C. Filho, Alessandro F. Garcia, C. M. F. Rubira

引用次数: 48

Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation 通过时间序列分割从软件版本历史中发现动态开发人员关系

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362654

Harvey P. Siy, P. Chundi, D. Rosenkrantz, M. Subramaniam

引用次数: 19

Empirical Evidence for SOC Dynamics in Software Evolution 软件进化中SOC动态的经验证据

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362637

Jingwei Wu, R. Holt, A. Hassan

引用次数: 24

The Inevitable Stability of Software Change 软件变化不可避免的稳定性

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362613

Rajesh Vasa, Jean-Guy Schneider, Oscar Nierstrasz

引用次数: 54

ONTRAC: A system for efficient ONline TRACing for debugging ONTRAC:一个用于调试的高效在线跟踪系统

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362657

V. Nagarajan, D. Jeffrey, Rajiv Gupta, Neelam Gupta

{"title":"ONTRAC: A system for efficient ONline TRACing for debugging","authors":"V. Nagarajan, D. Jeffrey, Rajiv Gupta, Neelam Gupta","doi":"10.1109/ICSM.2007.4362657","DOIUrl":"https://doi.org/10.1109/ICSM.2007.4362657","url":null,"abstract":"Dynamic slicing is a promising trace based technique that helps programmers in the process of debugging. In order to debug a failed run, dynamic slicing requires the dynamic dependence graph (DDG) information for that particular run. In prior work, address and control-flow traces are collected online and then extensively post-processed offline to yield the DDG, upon which slicing is performed. Unfortunately, the offline post-processing step can be extremely time consuming [21], impeding the use of dynamic slicing as a debugging technique. In this paper, we present ONTRAC, an efficient online tracing system, that directly computes the dynamic dependences online, thus eliminating the expensive offline postprocessing step. To minimize the program slowdown, we make the design decision of not outputting the computed dependences to a file, instead storing them in memory in a specially allocated fixed size circular buffer. The size of the buffer limits the length of the execution history that can be stored. To maximize the execution history that can be maintained, we introduce optimizations to eliminate the storage of most of the generated dependences, at the same time ensuring that those that are stored are sufficient to capture the bug. Our experiments conducted with real bugs confirm the above fact. Other experiments conducted on cpu-intensive programs show that our optimizations are able to reduce the trace-rate from 16 bytes to 0.8 bytes per executed instruction. This enables us to store the dependence trace history for a window of 20 million executed instructions in a 16 MB buffer. ONTRAC is also very efficient, only slowing down the execution by a factor of 19, eliminating the slowdown by a factor of 540 due to post-processing.","PeriodicalId":263470,"journal":{"name":"2007 IEEE International Conference on Software Maintenance","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133506014","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

Debugging Integrated Systems: An Ethnographic Study of Debugging Practice 集成系统调试:调试实践的民族志研究

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362643

Thomas Østerlie, Alf Inge Wang

引用次数: 8

Evaluation of Semantic Interference Detection in Parallel Changes: an Exploratory Experiment 并行变化中语义干扰检测的评价:一个探索性实验

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362620

Danhua Shao, S. Khurshid, D. Perry

{"title":"Evaluation of Semantic Interference Detection in Parallel Changes: an Exploratory Experiment","authors":"Danhua Shao, S. Khurshid, D. Perry","doi":"10.1109/ICSM.2007.4362620","DOIUrl":"https://doi.org/10.1109/ICSM.2007.4362620","url":null,"abstract":"Parallel developments are becoming increasingly prevalent in the building and evolution of large-scale software systems. Our previous studies of a large industrial project showed that there was a linear correlation between the degree of parallelism and the likelihood of defects in the changes. To further study the relationship between parallel changes and faults, we have designed and implemented an algorithm to detect \"direct\" semantic interference between parallel changes. To evaluate the analyzer's effectiveness in fault prediction, we designed an experiment in the context of an industrial project. We first mine the change and version management repositories to find sample versions sets of different degrees of parallelism. We investigate the interference between the versions with our analyzer. We then mine the change and version repositories to find out what faults were discovered subsequent to the analyzed interfering versions. We use the match rate between semantic interference and faults to evaluate the effectiveness of the analyzer in predicting faults. Our contributions in this evaluative empirical study are twofold. First, we evaluate the semantic interference analyzer and show that it is effective in predicting faults (based on \"direct\" semantic interference detection) in changes made within a short time period. Second, the design of our experiment is itself a significant contribution and exemplifies how to mine software repositories rather than use artificial cases for rigorous experimental evaluations.","PeriodicalId":263470,"journal":{"name":"2007 IEEE International Conference on Software Maintenance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582959","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: 25

Reducing Regression Test Size by Exclusion 通过排除减少回归测试的大小

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362628

K. Gallagher, T. Hall, S. Black

引用次数: 10

The Economics of Open Source Software: An Empirical Analysis of Maintenance Costs 开源软件的经济学:维护成本的实证分析

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI: 10.1109/ICSM.2007.4362652

E. Capra, C. Francalanci, F. Merlo

引用次数: 21