2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)最新文献_第2页

Autonomy in Software Engineering: A Preliminary Study on the Influence of Education Level and Professional Experience 软件工程中的自主性:教育水平和专业经验的影响初探

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.35

L. Silva, A. Tavares, Victor Afonso dos Santos Ferreira, Alex Costa, Gabriel Ibson de Souza, Cláudio Magalhães, F. Silva

{"title":"Autonomy in Software Engineering: A Preliminary Study on the Influence of Education Level and Professional Experience","authors":"L. Silva, A. Tavares, Victor Afonso dos Santos Ferreira, Alex Costa, Gabriel Ibson de Souza, Cláudio Magalhães, F. Silva","doi":"10.1109/ESEM.2017.35","DOIUrl":"https://doi.org/10.1109/ESEM.2017.35","url":null,"abstract":"Context: Software development process is executed by professionals with different roles, who are responsible for distinct activities. These roles can have different degrees of autonomy depending on some factors, such as the adopted process and hierarchy. Goal: This study aims to identify what factors can impact autonomy and also investigate how autonomy is given to an employee based on two main factors: education level and professional experience. Methodology: Initially, a survey was carried out to understand how autonomy is perceived by 102 software engineers, as well as by 83 professionals from other areas. The next step was applying semi-structured interviews with software engineers to find a better understanding of the quantitative findings. Results: In general, education level and professional experience do not have an impact on autonomy. Only when autonomy is evaluated from the education level perspective, there is a significant difference among the respondents. During the interviews, we also could identify some topics that respondents mentioned which were related to autonomy. For example, the experience that software engineer has in a current project and the development process adopted by the company influence how autonomy is perceived. Conclusion: While professional qualification and experience are not directly related to autonomy, the lack of process and the amount of work experience on specific projects seem to be relevant factors to be aware of.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"25 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":"126986117","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

Where Is the Road for Issue Reports Classification Based on Text Mining? 基于文本挖掘的问题报告分类之路在何方?

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.19

Qiang Fan, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang

{"title":"Where Is the Road for Issue Reports Classification Based on Text Mining?","authors":"Qiang Fan, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang","doi":"10.1109/ESEM.2017.19","DOIUrl":"https://doi.org/10.1109/ESEM.2017.19","url":null,"abstract":"Currently, open source projects receive various kinds of issues daily, because of the extreme openness of Issue Tracking System (ITS) in GitHub. ITS is a labor-intensive and time-consuming task of issue categorization for project managers. However, a contributor is only required a short textual abstract to report an issue in GitHub. Thus, most traditional classification approaches based on detailed and structured data (e.g., priority, severity, software version and so on) are difficult to adopt. In this paper, issue classification approaches on a large-scale dataset, including 80 popular projects and over 252,000 issue reports collected from GitHub, were investigated. First, four traditional text-based classification methods and their performances were discussed. Semantic perplexity (i.e., an issues description confuses bug-related sentences with nonbug-related sentences) is a crucial factor that affects the classification performances based on quantitative and qualitative study. Finally, A two-stage classifier framework based on the novel metrics of semantic perplexity of issue reports was designed. Results show that our two-stage classification can significantly improve issue classification performances.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"452 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":"127689730","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: 39

Characterizing Software Developers by Perceptions of Productivity 通过对生产力的感知来描述软件开发人员

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.17

André N. Meyer, Thomas Zimmermann, Thomas Fritz

引用次数: 23

Identifying Software Decays: A System Usage Perspective 识别软件衰减:一个系统使用的视角

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.64

A. Mubin, Meng Kuai

引用次数: 0

Using a Visual Abstract as a Lens for Communicating and Promoting Design Science Research in Software Engineering 以视觉抽象为视角交流和促进软件工程中的设计科学研究

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.28

M. Storey, Emelie Engström, Martin Höst, P. Runeson, E. Bjarnason

引用次数: 25

Agile Quality Requirements Engineering Challenges: First Results from a Case Study 敏捷质量需求工程挑战:案例研究的第一个结果

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.61

Wasim Alsaqaf, M. Daneva, R. Wieringa

引用次数: 11

A Comparison of Dictionary Building Methods for Sentiment Analysis in Software Engineering Text 软件工程文本情感分析的词典构建方法比较

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.67

M. R. Islam, M. Zibran

引用次数: 19

An Empirical Study of Open Source Virtual Reality Software Projects 开源虚拟现实软件项目的实证研究

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.65

Irving Rodriguez, Xiaoyin Wang

引用次数: 12

Formative Evaluation of a Tool for Managing Software Quality 软件质量管理工具的形成性评价

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.43

L. Guzmán, Anna Maria Vollmer, M. Ciolkowski, M. Gillmann

{"title":"Formative Evaluation of a Tool for Managing Software Quality","authors":"L. Guzmán, Anna Maria Vollmer, M. Ciolkowski, M. Gillmann","doi":"10.1109/ESEM.2017.43","DOIUrl":"https://doi.org/10.1109/ESEM.2017.43","url":null,"abstract":"Context/Background: To achieve high software quality, particularly in the context of agile software development, organizations need tools to continuously analyze software quality. Several quality management (QM) tools have been developed in recent years. However, there is a lack of evidence regarding the quality of QM tools, standardized definitions of such quality, and reliable instruments for measuring it. This, in turn, impedes proper selection and improvement of QM tools. Goals: We aimed at operationalizing the quality of a research QM tool, namely the ProDebt prototype, and evaluating its quality. The goal of the ProDebt prototype is to provide practitioners with support for managing software quality and technical debt. Method: We performed interviews, workshops, and a mapping study to operationalize the quality of the ProDebt prototype and to identify reliable instruments to measure it. We designed a mixed-method study aimed at formative evaluation, i.e., at assessing the quality of the ProDebt prototype and providing guidance for its further development. Eleven practitioners from two German companies evaluated the ProDebt prototype. Results: The participants assessed the information provided by the ProDebt prototype as understandable and relevant. They considered the ProDebt prototype's functionalities as easy to use but of limited usability. They identified improvement needs, e.g., that the analysis results should be linked to other information sources. Conclusions: The evaluation design was of practical value for evaluating the ProDebt prototype considering the limited resources such as the practitioners' time. The evaluation results provided the developers of the ProDebt prototype with guidance for its further development. We conclude that it can be used and tailored for replication or evaluation of other QM tools.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"92 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":"116308952","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: 6

Characterizing Developer Behavior in Cloud Based IDEs 描述基于云的ide中的开发人员行为

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI: 10.1109/ESEM.2017.27

Yi Wang

引用次数: 5