2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)最新文献_第3页

The Impact of Coverage on Bug Density in a Large Industrial Software Project 在大型工业软件项目中，覆盖率对Bug密度的影响

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.44

Thomas Bach, A. Andrzejak, Ralf Pannemans, D. Lo

引用次数: 17

Reporting Ethics Considerations in Software Engineering Publications 软件工程出版物中的报告伦理考虑

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.32

Deepika Badampudi

引用次数: 12

Team Maturity in Software Engineering Teams 软件工程团队中的团队成熟度

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.36

George Marsicano, Diana Valença Pereira, F. Silva, C. França

{"title":"Team Maturity in Software Engineering Teams","authors":"George Marsicano, Diana Valença Pereira, F. Silva, C. França","doi":"10.1109/ESEM.2017.36","DOIUrl":"https://doi.org/10.1109/ESEM.2017.36","url":null,"abstract":"Background: In Software Engineering (SE) the term maturity is often linked to the work process and product quality. In many cases, team maturity is seen as a backdrop to the process of SE, and sometimes as something that is known to exist, but which cannot be understood, neither measured accurately nor even dimension its value. Aim: In this article, we seek to understand the concept of mature teams in the context of SE, from the perspective of the software engineers themselves. Methods: We performed an exploratory qualitative research, collecting data from 26 practitioners, from 6 companies in 4 cities in Brazil. Data was analyzed using coding techniques from qualitative research. Results: Our findings pointed out three major dimensions of the concept of Team Maturity - Learning, Relationship and Technical Maturity - which, when kept in balance, can enhance the collective productivity, product quality and also the customer satisfaction. Conclusions: These results extend our current understanding of maturity of SE teams, shedding light on aspects that have been little explored so far in this field. The proposed model can serve as a guide for teams to enhance their approach of teamwork and for future research in this area.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128354023","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: 2

STRESS: A Semi-Automated, Fully Replicable Approach for Project Selection 压力:一个半自动化的、完全可复制的项目选择方法

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.22

D. Falessi, Wyatt Smith, Alexander Serebrenik

{"title":"STRESS: A Semi-Automated, Fully Replicable Approach for Project Selection","authors":"D. Falessi, Wyatt Smith, Alexander Serebrenik","doi":"10.1109/ESEM.2017.22","DOIUrl":"https://doi.org/10.1109/ESEM.2017.22","url":null,"abstract":"The mining of software repositories has provided significant advances in a multitude of software engineering fields, including defect prediction. Several studies show that the performance of a software engineering technology (e.g., prediction model) differs across different project repositories. Thus, it is important that the project selection is replicable. The aim of this paper is to present STRESS, a semi-automated and fully replicable approach that allows researchers to select projects by configuring the desired level of diversity, fit, and quality. STRESS records the rationale behind the researcher decisions and allows different users to re-run or modify such decisions. STRESS is open-source and it can be used used locally or even online (www.falessi.com/STRESS/). We perform a systematic mapping study that considers studies that analyzed projects managed with JIRA and Git to asses the project selection replicability of past studies. We validate the feasible application of STRESS in realistic research scenarios by applying STRESS to select projects among the 211 Apache Software Foundation projects. Our systematic mapping study results show that none of the 68 analyzed studies is completely replicable. Regarding STRESS, it successfully supported the project selection among all 211 ASF projects. It also supported the measurement of 100 projects characteristics, including the 32 criteria of the studies analyzed in our mapping study. The mapping study and STRESS are, to our best knowledge, the first attempt to investigate and support the replicability of project selection. We plan to extend them to other technologies such as GitHub.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132735613","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: 18

The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification 数据采样方法对软件缺陷排序和分类的重要影响

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.50

K. E. Bennin, J. Keung, Akito Monden, Passakorn Phannachitta, Solomon Mensah

{"title":"The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification","authors":"K. E. Bennin, J. Keung, Akito Monden, Passakorn Phannachitta, Solomon Mensah","doi":"10.1109/ESEM.2017.50","DOIUrl":"https://doi.org/10.1109/ESEM.2017.50","url":null,"abstract":"Context: Recent studies have shown that performance of defect prediction models can be affected when data sampling approaches are applied to imbalanced training data for building defect prediction models. However, the magnitude (degree and power) of the effect of these sampling methods on the classification and prioritization performances of defect prediction models is still unknown. Goal: To investigate the statistical and practical significance of using resampled data for constructing defect prediction models. Method: We examine the practical effects of six data sampling methods on performances of five defect prediction models. The prediction performances of the models trained on default datasets (no sampling method) are compared with that of the models trained on resampled datasets (application of sampling methods). To decide whether the performance changes are significant or not, robust statistical tests are performed and effect sizes computed. Twenty releases of ten open source projects extracted from the PROMISE repository are considered and evaluated using the AUC, pd, pf and G-mean performance measures. Results: There are statistical significant differences and practical effects on the classification performance (pd, pf and G-mean) between models trained on resampled datasets and those trained on the default datasets. However, sampling methods have no statistical and practical effects on defect prioritization performance (AUC) with small or no effect values obtained from the models trained on the resampled datasets. Conclusions: Existing sampling methods can properly set the threshold between buggy and clean samples, while they cannot improve the prediction of defect-proneness itself. Sampling methods are highly recommended for defect classification purposes when all faulty modules are to be considered for testing.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749988","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: 32

Mining Logs to Model the Use of a System 挖掘日志以模拟系统的使用

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.47

Daniele Gadler, Michael Mairegger, Andrea Janes, B. Russo

{"title":"Mining Logs to Model the Use of a System","authors":"Daniele Gadler, Michael Mairegger, Andrea Janes, B. Russo","doi":"10.1109/ESEM.2017.47","DOIUrl":"https://doi.org/10.1109/ESEM.2017.47","url":null,"abstract":"Background. Process mining is a technique to build process models from \"execution logs\" (i.e., events triggered by the execution of a process). State-of-the-art tools can provide process managers with different graphical representations of such models. Managers use these models to compare them with an ideal process model or to support process improvement. They typically select the representation based on their experience and knowledge of the system. Aim. This work studies how to automatically build process models representing the actual intents (or uses) of users while interacting with a software system. Such intents are expressed as a set of actions performed by a user to a system to achieve specific use goals. Method. This work applies the theory of Hidden Markov Models to mine use logs and automatically model the use of a system. Results. Unlike the models generated with process mining tools, the Hidden Markov Models automatically generated in this study provide the intents of a user and can be used to recommend managers with a faithful representation of the use of their systems. Conclusions. The automatic generation of the Hidden Markov Models can achieve a good level of accuracy in representing the actual user's intents provided the log dataset is carefully chosen. In our study, the information contained in one-month set of logs helped automatically build Hidden Markov Models with superior accuracy and similar expressiveness of the models built together with the company's stakeholder.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"31 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116355197","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: 17

Would You Like to Motivate Software Testers? Ask Them How 你想激励软件测试人员吗?问他们怎么做

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.16

Ronnie E. S. Santos, C. Magalhães, Jorge S. Correia Neto, F. Silva, Luiz Fernando Capretz, Rodrigo Souza

{"title":"Would You Like to Motivate Software Testers? Ask Them How","authors":"Ronnie E. S. Santos, C. Magalhães, Jorge S. Correia Neto, F. Silva, Luiz Fernando Capretz, Rodrigo Souza","doi":"10.1109/ESEM.2017.16","DOIUrl":"https://doi.org/10.1109/ESEM.2017.16","url":null,"abstract":"Context. Considering the importance of software testing to the development of high quality and reliable software systems, this paper aims to investigate how can work-related factors influence the motivation of software testers. Method. We applied a questionnaire that was developed using a previous theory of motivation and satisfaction of software engineers to conduct a survey-based study to explore and understand how professional software testers perceive and value work-related factors that could influence their motivation at work. Results. With a sample of 80 software testers we observed that software testers are strongly motivated by variety of work, creative tasks, recognition for their work, and activities that allow them to acquire new knowledge, but in general the social impact of this activity has low influence on their motivation. Conclusion. This study discusses the difference of opinions among software testers, regarding work-related factors that could impact their motivation, which can be relevant for managers and leaders in software engineering practice.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133119905","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: 26

An Industry Perspective to Comparing the SQALE and Quamoco Software Quality Models 从行业角度比较SQALE和Quamoco软件质量模型

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.42

C. Izurieta, I. Griffith, Chris Huvaere

{"title":"An Industry Perspective to Comparing the SQALE and Quamoco Software Quality Models","authors":"C. Izurieta, I. Griffith, Chris Huvaere","doi":"10.1109/ESEM.2017.42","DOIUrl":"https://doi.org/10.1109/ESEM.2017.42","url":null,"abstract":"Context: We investigate the different perceptions of quality provided by leading operational quality models when used to evaluate software systems from an industry perspective. Goal: To compare and evaluate the quality assessments of two competing quality models and to develop an extensible solution to meet the quality assurance measurement needs of an industry stakeholder -The Construction Engineering Research Laboratory (CERL). Method: In cooperation with our industry partner TechLink, we operationalize the Quamoco quality model and employ a multiple case study design comparing the results of Quamoco and SQALE, two implementations of well known quality models. The study is conducted across current versions of several open source software projects sampled from GitHub and commercial software for sustainment management systems implemented in the C# language from our industry partner. Each project represents a separate embedded unit of study in a given context -open source or commercial. We employ inter-rater agreement and correlation analysis to compare the results of both models, focusing on Maintainability, Reliability, and Security assessments. Results: Our observations suggest that there is a significant disconnect between the assessments of quality under both quality models. Conclusion: In order to support industry adoption, additional work is required to bring competing implementations of quality models into alignment. This exploratory case study helps us shed light into this problem.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121775212","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: 10

An Exploratory Analysis of a Hybrid OSS Company's Forum in Search of Sales Leads 一家混合型OSS公司论坛寻找销售线索的探索性分析

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.52

Myriam Munezero, T. Kojo, T. Männistö

{"title":"An Exploratory Analysis of a Hybrid OSS Company's Forum in Search of Sales Leads","authors":"Myriam Munezero, T. Kojo, T. Männistö","doi":"10.1109/ESEM.2017.52","DOIUrl":"https://doi.org/10.1109/ESEM.2017.52","url":null,"abstract":"Background: Online forums are instruments through which information or problems are shared and discussed, including expressions of interests and intentions. Objective: In this paper, we present ongoing work aimed at analyzing the content of forum posts of a hybrid open source company that offers both free and commercial licenses, in order to help its community manager gain improved understanding of the forum discussions and sentiments and automatically discover new opportunities such as sales leads, i.e., people who are interested in buying a license. These leads can then be forwarded to the sales team for follow-up and can result in them potentially making a sale, thus increasing company revenue. Method: For the analysis of the forums, an untapped channel for sales leads by the company, text analysis techniques are utilized to identify potential sales leads and the discussion topics and sentiments in those leads. Results: Results of our preliminary work make a positive contribution in lessening the community manager's work in understanding the sentiment and discussion topics in the hybrid open source forum community, as well as make it easier and faster to identify potential future customers. Conclusion: We believe that the results will positively contribute to improving the sales of licenses for the hybrid open source company.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124831849","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: 2

Assessing the Intuitiveness of Qualitative Contribution Relationships in Goal Models: An Exploratory Experiment 评估目标模型中定性贡献关系的直观性:一项探索性实验

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.69

S. Liaskos, Alexis Ronse, M. Zhian

引用次数: 8