{"title":"Using ontology fragments in concept location","authors":"Leon A. Wilson","doi":"10.1109/ICSM.2010.5609555","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609555","url":null,"abstract":"Concept location is the process of locating relevant source code fragments where a change must be made. Concept location requires programmers' understanding of the program and their ability to formulate effective concept location queries. This research presents a systematic approach to query formulation that uses ontology fragments. Preliminary results of a case study demonstrate that only small, partial knowledge represented by small ontology fragments is needed for a successful concept location. The ontology fragments also document programmer learning that takes place during the concept location.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115394357","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}
{"title":"Using Relational Topic Models to capture coupling among classes in object-oriented software systems","authors":"Malcom Gethers, D. Poshyvanyk","doi":"10.1109/ICSM.2010.5609687","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609687","url":null,"abstract":"Coupling metrics capture the degree of interaction and relationships among source code elements in software systems. A vast majority of existing coupling metrics rely on structural information, which captures interactions such as usage relations between classes and methods or execute after associations. However, these metrics lack the ability to identify conceptual dependencies, which, for instance, specify underlying relationships encoded by developers in identifiers and comments of source code classes. We propose a new coupling metric for object-oriented software systems, namely Relational Topic based Coupling (RTC) of classes, which uses Relational Topic Models (RTM), generative probabilistic model, to capture latent topics in source code classes and relationships among them. A case study on thirteen open source software systems is performed to compare the new measure with existing structural and conceptual coupling metrics. The case study demonstrates that proposed metric not only captures new dimensions of coupling, which are not covered by the existing coupling metrics, but also can be used to effectively support impact analysis.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419522","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}
{"title":"Theil index for aggregation of software metrics values","authors":"Alexander Serebrenik, M. Brand","doi":"10.1109/ICSM.2010.5609637","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609637","url":null,"abstract":"We propose a new approach to aggregating software metrics from the micro-level of individual artifacts (e.g., methods, classes and packages) to the macro-level of the entire software system. The approach, Theil index, is a well-known econometric measure of inequality. The Theil index allows to study the impact of different categorizations of the artifacts, e.g., based on the development technology or developers' teams, on the inequality of the metrics values measured. We apply the Theil index in a series of experiments. We have observed that the Theil index and the related notions provide valuable insights in organization and evolution of software systems, as well as in sources of inequality.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114461572","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}
{"title":"Automatic identification of class stereotypes","authors":"Natalia Dragan, M. Collard, Jonathan I. Maletic","doi":"10.1109/ICSM.2010.5609703","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609703","url":null,"abstract":"An approach is presented to automatically determine a class's stereotype. The stereotype is based on the frequency and distribution of method stereotypes in the class. Method stereotypes are automatically determined using a defined taxonomy given in previous work. The stereotypes, boundary, control and entity are used as a basis but refined based on an empirical investigation of 21 systems. A number of heuristics, derived from empirical evidence, are used to determine a class's stereotype. For example, the prominence of certain types of methods can indicate a class's main role. The approach is applied to five open source systems and evaluated. The results show that 95% of the classes are stereotyped by the approach. Additionally, developers (via manual inspection) agreed with the approach's results.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124252953","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}
{"title":"Assessment of product maintainability for two space domain simulators","authors":"Tiago L. Alves","doi":"10.1109/ICSM.2010.5609752","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609752","url":null,"abstract":"The software life-cycle of applications supporting space missions follows a rigorous process in order to ensure the application compliance with all the specified requirements. Ensuring the correct behavior of the application is critical since an error can lead, ultimately, to the loss of a complete space mission. However, it is not only important to ensure the correct behavior of the application but also to achieve good product quality since the applications need to be maintained for several years. Then, the question arises, is a rigorous process enough to guarantee good product maintainability? In this paper we assess the software product maintainability of two simulators used to support space missions. The assessment is done using both a standardized analysis, using the SIG quality model for maintainability, and a customized copyright license analysis. The assessment results revealed several quality problems leading to three lessons. First, rigorous process requirements by themselves do not ensure product quality. Second, quality models can be used not only to pinpoint code problems but also to reveal team issues. Finally, tailored analyses, complementing quality models, are necessary for in-depth investigation of quality.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128129089","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}
{"title":"Sampling program quality","authors":"Hongyu Zhang, Rongxin Wu","doi":"10.1109/ICSM.2010.5609671","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609671","url":null,"abstract":"Many modern software systems are large, consisting of hundreds or even thousands of programs (source files). Understanding the overall quality of these programs is a resource and time-consuming activity. It is desirable to have a quick yet accurate estimation of the overall program quality in a cost-effective manner. In this paper, we propose a sampling based approach - for a large software project, we only sample a small percentage of source files, and then estimate the quality of the entire programs in the project based on the characteristics of the sample. Through experiments on public defect datasets, we show that we can successfully estimate the total number of defects, proportions of defective programs, defect distributions, and defect-proneness - all from a small sample of programs. Our experiments also show that small samples can achieve similar prediction accuracies as larger samples do.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126541645","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}
{"title":"Supporting change propagation in UML models","authors":"K. Dam, M. Winikoff","doi":"10.1109/ICSM.2010.5609712","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609712","url":null,"abstract":"A critical issue in software maintenance and evolution is change propagation: given a primary change that is made in order to meet a new or changed requirement, what additional, secondary, changes are needed? We have previously developed techniques for effectively supporting change propagation within design models of intelligent agent systems. In this paper, we propose how this approach is applied to support change propagation within UML design models. Our approach offers a number of advantages in terms of saving substantial time writing hard-coded rules, ensuring soundness and completeness, and at the same time capturing the cascading nature of change propagation. We will also present and discuss the results of an evaluation performed to assess the scalability of our approach.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128593646","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}
{"title":"Improved size and effort estimation models for software maintenance","authors":"Vu Nguyen","doi":"10.1109/ICSM.2010.5609554","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609554","url":null,"abstract":"this paper provides a brief description of our study proposing improvements to the COCOMO models for estimating maintenance size and effort. The proposed size and effort models take into account characteristics of software maintenance that have not been addressed in the current COCOMO models. We found that the proposed models potentially improve the estimation accuracies of software maintenance projects.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115010875","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}
{"title":"Comprehensive evaluation of association measures for fault localization","authors":"Lucia, D. Lo, Lingxiao Jiang, Aditya Budi","doi":"10.1109/ICSM.2010.5609542","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609542","url":null,"abstract":"In statistics and data mining communities, there have been many measures proposed to gauge the strength of association between two variables of interest, such as odds ratio, confidence, Yule-Y, Yule-Q, Kappa, and gini index. These association measures have been used in various domains, for example, to evaluate whether a particular medical practice is associated positively to a cure of a disease or whether a particular marketing strategy is associated positively to an increase in revenue, etc. This paper models the problem of locating faults as association between the execution or non-execution of particular program elements with failures. There have been special measures, termed as suspiciousness measures, proposed for the task. Two state-of-the-art measures are Tarantula and Ochiai, which are different from many other statistical measures. To the best of our knowledge, there is no study that comprehensively investigates the effectiveness of various association measures in localizing faults. This paper fills in the gap by evaluating 20 well-known association measures and compares their effectiveness in fault localization tasks with Tarantula and Ochiai. Evaluation on the Siemens programs show that a number of association measures perform statistically comparable as Tarantula and Ochiai.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122153725","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}
{"title":"Deriving metric thresholds from benchmark data","authors":"Tiago L. Alves, Christiaan Ypma, Joost Visser","doi":"10.1109/ICSM.2010.5609747","DOIUrl":"https://doi.org/10.1109/ICSM.2010.5609747","url":null,"abstract":"A wide variety of software metrics have been proposed and a broad range of tools is available to measure them. However, the effective use of software metrics is hindered by the lack of meaningful thresholds. Thresholds have been proposed for a few metrics only, mostly based on expert opinion and a small number of observations.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125049939","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}