{"title":"Candidate reuse metrics for object oriented and Ada software","authors":"Santhi Karunanithi, J. Bieman","doi":"10.1109/METRIC.1993.263794","DOIUrl":"https://doi.org/10.1109/METRIC.1993.263794","url":null,"abstract":"The measurement of levels of software reuse is necessary to monitor improvements in software reuse. The paper introduces a set of measurable reuse attributes appropriate to object oriented systems, and proposes a suite of metrics which quantify these attributes. Metrics suitable for the object based language Ada are identified and a prototype measurement tool design is proposed.<<ETX>>","PeriodicalId":320762,"journal":{"name":"[1993] Proceedings First International Software Metrics Symposium","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115983096","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":"Metrics to improve the US Army software development process","authors":"R. Paul","doi":"10.1109/METRIC.1993.263802","DOIUrl":"https://doi.org/10.1109/METRIC.1993.263802","url":null,"abstract":"The Software T&E Panel (STEP) was organized in September 1989 to address the problem that most delays in Army system operational tests were caused by immature software. STEP focused attention on software T&E, but also considered related issues of software development and deployment. STEP is currently implementing three major products: (1) policy and procedures to improve the formal process of software requirements definition; (2) a standard set of 12 software metrics which are mandatory for all Army software development efforts; and (3) improved software T&E procedures. The Army metrics effort is supported by development of a central database for Army-wide metrics data collection. The database will serve as the repository of lessons learned from the use of metrics, including cost data to support cost-benefit analyses. STEP has also conducted a survey of existing commercial and government off-the-shelf tools to support the metrics data collection effort.<<ETX>>","PeriodicalId":320762,"journal":{"name":"[1993] Proceedings First International Software Metrics Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426468","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":"Slice based metrics for estimating cohesion","authors":"Linda M. Ott, J. J. Thuss","doi":"10.1109/METRIC.1993.263799","DOIUrl":"https://doi.org/10.1109/METRIC.1993.263799","url":null,"abstract":"Previous work has shown that a relationship exists between cohesion and the slice profile of a program. The authors explore the use of several metrics based on such slice profiles to give a quantitative estimate of the level of cohesion in a module. Example modules are used to analyze the behavior of the metric values as the modules are modified such that the cohesion is changed. The sensitivity of the metrics to the various types of changes is discussed.<<ETX>>","PeriodicalId":320762,"journal":{"name":"[1993] Proceedings First International Software Metrics Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117068475","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":"Software process maturity: measuring its impact on productivity and quality","authors":"H. Rubin","doi":"10.1109/METRIC.1993.263806","DOIUrl":"https://doi.org/10.1109/METRIC.1993.263806","url":null,"abstract":"With the current worldwide focus on improvement in software process, there is clearly a need for an understanding of its impact on software engineering productivity and quality. The paper documents an attempt to provide an empirical metrics 'view' of such initiatives based on data collected in a worldwide benchmarking effort conducted between March, 1991 and December, 1991. Surprisingly, of the more than 300 organizations that participated, fewer than 1 in 5 had any quantifiable performance data available prior to the start of this study. However, those that had embarked on significant process improvement efforts and were actively using metrics were able to demonstrate substantial grains in productivity and quality. In addition, insights derived from this large scale data analysis provide a framework for determining which metrics should be included in a standard software engineering measurement 'dashboard'.<<ETX>>","PeriodicalId":320762,"journal":{"name":"[1993] Proceedings First International Software Metrics Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130041357","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}