Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering最新文献_第3页

Operationalizing the Experience Factory for Effort Estimation in Agile Processes 在敏捷过程中为工作量估算实现体验工厂

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084240

D. Taibi, Valentina Lenarduzzi, Philipp Diebold, M. I. Lunesu

{"title":"Operationalizing the Experience Factory for Effort Estimation in Agile Processes","authors":"D. Taibi, Valentina Lenarduzzi, Philipp Diebold, M. I. Lunesu","doi":"10.1145/3084226.3084240","DOIUrl":"https://doi.org/10.1145/3084226.3084240","url":null,"abstract":"[Background] The effort required to systematically collect historical data is not always allocable in agile processes and historical data management is usually delegated to the developers' experience, who need to remember previous project details. However, even if well trained, developers cannot precisely remember a huge number of details, resulting in wrong decisions being made during the development process. [Aims] The goal of this paper is to operationalize the Experience Factory in an agile way, i.e., defining a strategy for collecting historical project data using an agile approach. [Method] We provide a mechanism for understanding whether a measure must be collected or not, based on the Return on Invested Time (ROIT). In order to validate this approach, we instantiated the factory with an exploratory case study, comparing four projects that did not use our approach with one project that used it after 12 weeks out of 37 and two projects that used it from the beginning. [Results] The proposed approach helps developers to constantly improve their estimation accuracy with a very positive ROIT of the collected measure. [Conclusions] From this first experience, we can conclude that the Experience Factory can be applied effectively to agile processes, supporting developers in improving their performance and reducing potential decision mistakes.","PeriodicalId":192290,"journal":{"name":"Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117227440","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

How to Reduce Software Development Cost with Personnel Assignment Optimization: Exemplary Improvement on the Hungarian Algorithm 如何通过人员配置优化来降低软件开发成本:匈牙利算法的改进范例

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084245

Chong Wang, Zhong Luo, Luxin Lin, M. Daneva

{"title":"How to Reduce Software Development Cost with Personnel Assignment Optimization: Exemplary Improvement on the Hungarian Algorithm","authors":"Chong Wang, Zhong Luo, Luxin Lin, M. Daneva","doi":"10.1145/3084226.3084245","DOIUrl":"https://doi.org/10.1145/3084226.3084245","url":null,"abstract":"Reasonable reduction and controlling of software cost is always a challenge for software companies. To estimate software development cost more precisely, current research effort is focused on improving the measurement of software size or complexity by combining or adjusting key cost drivers, such as function points and other observable project context factors. However, personnel factors are seldom investigated or treated in depth as a way to reduce the estimated software development cost. On the premise that a software project is decomposed in a number of tasks, and that predetermined developers are available as resources for it, this paper intends to optimize the allocation of available personnel for lower development cost. In this research, we consider the problem of allocating competent developers to suitable tasks as an unbalanced personnel assignment problem, and improve the traditional Hungarian Algorithm by applying three strategies to find optimal personnel allocation solutions for diverse requirements. Moreover, the performance of our improved algorithms is evaluated and compared through a series of experiments on simulation datasets to identify and validate the measurement indicators and influence factors of their performance.","PeriodicalId":192290,"journal":{"name":"Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122447332","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: 3

Guidelines for utilizing change impact analysis when estimating effort in agile software development 在敏捷软件开发中估算工作量时使用变更影响分析的指南

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084284

Binish Tanveer

引用次数: 9

Using Metrics to Track Code Review Performance 使用度量来跟踪代码评审性能

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084247

Daniel Izquierdo-Cortazar, Nelson Sekitoleko, Jesus M. Gonzalez-Barahona, Lars Kurth

{"title":"Using Metrics to Track Code Review Performance","authors":"Daniel Izquierdo-Cortazar, Nelson Sekitoleko, Jesus M. Gonzalez-Barahona, Lars Kurth","doi":"10.1145/3084226.3084247","DOIUrl":"https://doi.org/10.1145/3084226.3084247","url":null,"abstract":"During 2015, some members of the Xen Project Advisory Board became worried about the performance of their code review process. The Xen Project is a free, open source software project developing one of the most popular virtualization platforms in the industry. They use a pre-commit peer review process similar to that in the Linux kernel, based on email messages. They had observed a large increase over time in the number of messages related to code review, and were worried about how this could be a signal of problems with their code review process. To address these concerns, we designed and conducted, with their continuous feedback, a detailed analysis focused on finding these problems, if any. During the study, we dealt with the methodological problems of Linux-like code review, and with the deeper issue of finding metrics that could uncover the problems they were worried about. For having a benchmark, we run the same analysis on a similar project, which uses very similar code review practices: the Linux Netdev (Netdev) project. As a result, we learned how in fact the Xen Project had some problems, but at the moment of the analysis those were already under control. We found as well how different the Xen and Netdev projects were behaving with respect to code review performance, despite being so similar from many points of view. In this paper we show the results of both analyses, and propose a comprehensive methodology, fully automated, to study Linux-style code review. We discuss also the problems of getting significant metrics to track improvements or detect problems in this kind of code review.","PeriodicalId":192290,"journal":{"name":"Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121991560","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: 20

ASM.br: A Template for Specifying Indicators ASM。br:指定指标的模板

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084280

Sylvio Bonelli, Gleison Santos, M. Barcellos

引用次数: 1

What industry wants from academia in software testing?: Hearing practitioners' opinions 在软件测试方面，工业界想从学术界得到什么?:听取从业人员意见

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084264

V. Garousi, M. Felderer, M. Kuhrmann, Kadir Herkiloglu

引用次数: 53

Preliminary Study on Applying Semi-Supervised Learning to App Store Analysis 半监督学习应用于App Store分析的初步研究

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084285

Roger Deocadez, R. Harrison, Daniel Rodríguez

引用次数: 6

Interactive Posters: An Alternative to Collect Practitioners' Experience 互动海报:收集从业人员经验的另一种选择

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084272

Philipp Diebold, M. Galster, A. Rainer, Sherlock A. Licorish

引用次数: 9

A Comparative Study of Model-Driven Approaches For Scoping and Planning Experiments 模型驱动的范围界定和规划实验方法的比较研究

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084258

Waldemar Ferreira, M. T. Baldassarre, S. Soares, Bruno Cartaxo, G. Visaggio

{"title":"A Comparative Study of Model-Driven Approaches For Scoping and Planning Experiments","authors":"Waldemar Ferreira, M. T. Baldassarre, S. Soares, Bruno Cartaxo, G. Visaggio","doi":"10.1145/3084226.3084258","DOIUrl":"https://doi.org/10.1145/3084226.3084258","url":null,"abstract":"Context: Through the years researchers have proposed several approaches to foster the growth and quality of experiments in Software Engineering. Among these approaches, there are some initiatives that rely on tool support for specifying controlled experiments. Goal: This paper reports results from a study, which aims to organize, analyze and outline the specifications of each initiative through a comparative analysis. Method: Specifications of each initiative have been compared through a comparative analysis, carried out according to eight criteria: (i) standard empirical concepts, (ii) goals and targets, (iii) involved variables, (iv) subject description, (v) design of experiment, (vi) tasks and activities, (vii) instruments and measurements, and (viii) the threats to research validity. Results: The results show that, among the tools currently existing and used in literature, the eSEE (Experimental Software Engineering Environment) is a complete model. However, it is also the most complex. In the other hand, the most flexible one is Experiment DSL. Conclusion: Based on our results, the currently existing solutions have strengths and weaknesses that should address efforts to make improvements in this area. In principal, our general suggestion is to place emphasis on methodological quality âĂŞ more than on method quantity.","PeriodicalId":192290,"journal":{"name":"Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129409806","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: 5

A quasi-experiment to evaluate the impact of mental fatigue on study selection process 心理疲劳对学习选择影响的准实验研究

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering Pub Date : 2017-06-15 DOI: 10.1145/3084226.3084274

Ricardo Britto, M. Usman, N. Minhas

{"title":"A quasi-experiment to evaluate the impact of mental fatigue on study selection process","authors":"Ricardo Britto, M. Usman, N. Minhas","doi":"10.1145/3084226.3084274","DOIUrl":"https://doi.org/10.1145/3084226.3084274","url":null,"abstract":"Context: Existing empirical evidence indicates that loss of alertness associated with mental fatigue is highly correlated with fluctuations in the performance of people carrying out auditory tasks. In software engineering research, mental fatigue may affect the results of study selection (an auditory task) when conducting secondary studies such as systematic literature reviews or systematic mapping studies. However, to date there is no empirical study that reports an in-depth investigation about the relationship between mental fatigue and researchers' selection decisions during study selection process. Objective: The main objective of this paper is to report the design and preliminary results of an investigation about the impact of mental fatigue on the study selection process of secondary studies. Method: We designed and piloted a quasi-experiment. Results: The preliminary results do not indicate that mental fatigue negatively impacts the correctness of selection decision and confidence. However, it is important to note that the preliminary results are only based on six subjects. Conclusion: This paper brings awareness about the role of mental fatigue in the conduction of secondary studies. Although the preliminary results do not indicate any meaningful relationship, we believe that it is worthwhile to continue the research, by adding more subjects, and also revising the design of the reported quasi-experiment.","PeriodicalId":192290,"journal":{"name":"Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448593","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