Workshop on Emerging Trends in Software Metrics最新文献_第2页

Design test process in component-based software engineering: an analysis of requirements scalability 基于组件的软件工程中的设计测试过程:需求可扩展性的分析

Workshop on Emerging Trends in Software Metrics Pub Date : 2014-06-03 DOI: 10.1145/2593868.2593877

Mariem Haoues, Asma Sellami, H. Ben-Abdallah

引用次数: 2

A replicated study on correlating agile team velocity measured in function and story points 一个用功能和故事点衡量敏捷团队速度的重复研究

Workshop on Emerging Trends in Software Metrics Pub Date : 2014-06-03 DOI: 10.1145/2593868.2593874

Hennie Huijgens, R. Solingen

引用次数: 9

A revised web objects method to estimate web application development effort 一个修订的web对象方法来评估web应用程序开发工作量

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985388

R. Folgieri, G. Barabino, G. Concas, Erika Corona, R. D. Lorenzi, M. Marchesi, Andrea Segni

引用次数: 6

Is my project's truck factor low?: theoretical and empirical considerations about the truck factor threshold 我的项目的卡车因素低吗?:货车因子阈值的理论与实证考虑

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985379

Marco Torchiano, F. Ricca, A. Marchetto

{"title":"Is my project's truck factor low?: theoretical and empirical considerations about the truck factor threshold","authors":"Marco Torchiano, F. Ricca, A. Marchetto","doi":"10.1145/1985374.1985379","DOIUrl":"https://doi.org/10.1145/1985374.1985379","url":null,"abstract":"The Truck Factor is a simple way, proposed by the agile community, to measure the system's knowledge distribution in a team of developers. It can be used to highlight potential project problems due to the inadequate distribution of the system knowledge. Notwithstanding its relevance, only few studies investigated the Truck Factor and proposed ways to efficiently measure, evaluate and use it. In particular, the effective use of the Truck Factor is limited by the lack of reliable thresholds.\u0000 In this preliminary paper, we present a theoretical model concerning the Truck Factor and, in particular, we investigate its use to define the maximum achievable Truck Factor value in a project. The relevance of such a value concerns the definition of a reliable threshold for the Truck Factor. Furthermore in the paper, we document an experiment in which we apply the proposed model to real software projects with the aim of comparing the maximum achievable value of the Truck Factor with the unique threshold proposed in literature. The preliminary outcome we achieved shows that the existing threshold has some limitations and problems.","PeriodicalId":103819,"journal":{"name":"Workshop on Emerging Trends in Software Metrics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477400","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: 29

Program slicing-based cohesion measurement: the challenges of replicating studies using metrics 基于程序切片的内聚度量:使用度量复制研究的挑战

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985392

David Bowes, T. Hall, Andrew Kerr

引用次数: 4

Different strokes for different folks: a case study on software metrics for different defect categories 不同的人有不同的方法:一个针对不同缺陷类别的软件度量的案例研究

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985386

Ayse Tosun Misirli, Bora Caglayan, A. Miranskyy, A. Bener, Nuzio Ruffolo

引用次数: 19

Human judgement and software metrics: vision for the future 人类判断和软件度量:对未来的展望

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985393

C. Mair, M. Shepperd

引用次数: 24

Stability of Java interfaces: a preliminary investigation Java接口的稳定性:初步调查

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985385

J. Chow, E. Tempero

引用次数: 3

Concern-based cohesion as change proneness indicator: an initial empirical study 基于关注的内聚作为变化倾向指标的初步实证研究

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985387

B. Silva, C. Sant'Anna, C. Chavez

{"title":"Concern-based cohesion as change proneness indicator: an initial empirical study","authors":"B. Silva, C. Sant'Anna, C. Chavez","doi":"10.1145/1985374.1985387","DOIUrl":"https://doi.org/10.1145/1985374.1985387","url":null,"abstract":"Structure-based cohesion metrics, such as the well-known Chidamber and Kemerer's Lack of Cohesion in Methods (LCOM), fail to capture the semantic notion of a software component's cohesion. Some researchers claim that it is one of the reasons they are not good indicators of change proneness. The Lack of Concern-based Cohesion metric (LCC) is an alternative cohesion metric which is centered on counting the number of concerns a component implements. A concern is any important concept, feature, property or area of interest of a system that we want to treat in a modular way. In this way, LCC focus on what really matters for assessing a component's cohesion - the amount of responsibilities placed on them. Our aim in this paper is to present an initial investigation about the applicability of this concern-based cohesion metric as a change proneness indicator. We also checked if this metric has a correlation with efferent coupling. An initial empirical assessment work was done with two small to medium-sized systems. Our results indicated a moderate to strong correlation between LCC and change proneness, and also a strong correlation between LCC and efferent coupling.","PeriodicalId":103819,"journal":{"name":"Workshop on Emerging Trends in Software Metrics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132150200","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: 15

Which code construct metrics are symptoms of post release failures? 哪些代码构造指标是发布后失败的症状?

Workshop on Emerging Trends in Software Metrics Pub Date : 2011-05-24 DOI: 10.1145/1985374.1985389

M. Nagappan, Brendan Murphy, M. Vouk

{"title":"Which code construct metrics are symptoms of post release failures?","authors":"M. Nagappan, Brendan Murphy, M. Vouk","doi":"10.1145/1985374.1985389","DOIUrl":"https://doi.org/10.1145/1985374.1985389","url":null,"abstract":"Software metrics, such as code complexity metrics and code churn metrics, are used to predict failures. In this paper we study a specific set of metrics called code construct metrics and relate them to post release failures. We use the values of the code construct metrics for each file to characterize that file. We analyze the code construct metrics along with the post release failure data on the files (that splits the files into two classes: files with post release failures and files without post release failures). In our analysis we compare a file with post release failure to a set of files without post release failures, that have similar characteristics. In our comparison we identify which code construct metric, more often than the others, differs the most between these two classes of files. The goal of our research is to find out which code construct metrics can perhaps be used as symptoms of post release failures. In this paper we analyzed the code construct metrics of Eclipse 2.0, 2.1, and 3.0. Our results indicate that MethodInvocation, QualifiedName, and SimpleName, are the code constructs that differentiates the two classes of files the most and hence are the key symptoms/indicators of a file with post release failures in these versions of Eclipse.","PeriodicalId":103819,"journal":{"name":"Workshop on Emerging Trends in Software Metrics","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630895","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: 1