Pub Date : 2020-10-01DOI: 10.1016/j.infsof.2020.106313
Chaima Abid, M. Kessentini, Hanzhang Wang
{"title":"Early prediction of quality of service using interface-level metrics, code-level metrics, and antipatterns","authors":"Chaima Abid, M. Kessentini, Hanzhang Wang","doi":"10.1016/j.infsof.2020.106313","DOIUrl":"https://doi.org/10.1016/j.infsof.2020.106313","url":null,"abstract":"","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118608821","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}
Pub Date : 2020-10-01DOI: 10.1016/j.infsof.2020.106347
Eduardo Fernandes, Alexander Chávez, Alessandro F. Garcia, Isabella Ferreira, Diego Cedrim, L. Sousa, W. Oizumi
{"title":"Refactoring effect on internal quality attributes: What haven't they told you yet?","authors":"Eduardo Fernandes, Alexander Chávez, Alessandro F. Garcia, Isabella Ferreira, Diego Cedrim, L. Sousa, W. Oizumi","doi":"10.1016/j.infsof.2020.106347","DOIUrl":"https://doi.org/10.1016/j.infsof.2020.106347","url":null,"abstract":"","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119705970","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}
Pub Date : 2020-10-01DOI: 10.1016/j.infsof.2020.106335
Sai Datta Vishnubhotla, E. Mendes, L. Lundberg
{"title":"Investigating the relationship between personalities and agile team climate of software professionals in a telecom company","authors":"Sai Datta Vishnubhotla, E. Mendes, L. Lundberg","doi":"10.1016/j.infsof.2020.106335","DOIUrl":"https://doi.org/10.1016/j.infsof.2020.106335","url":null,"abstract":"","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119383095","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}
Pub Date : 2020-08-01DOI: 10.1016/j.infsof.2020.106318
D. Gong, Fengping Pan, Tian Tian, Su Yang, Fanlin Meng
{"title":"A feedback-directed method of evolutionary test data generation for parallel programs","authors":"D. Gong, Fengping Pan, Tian Tian, Su Yang, Fanlin Meng","doi":"10.1016/j.infsof.2020.106318","DOIUrl":"https://doi.org/10.1016/j.infsof.2020.106318","url":null,"abstract":"","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119735488","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}
Pub Date : 2020-07-01DOI: 10.1016/j.infsof.2020.106368
Lucy Ellen Lwakatare, Aiswarya Raj, I. Crnkovic, J. Bosch, H. H. Olsson
{"title":"Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions","authors":"Lucy Ellen Lwakatare, Aiswarya Raj, I. Crnkovic, J. Bosch, H. H. Olsson","doi":"10.1016/j.infsof.2020.106368","DOIUrl":"https://doi.org/10.1016/j.infsof.2020.106368","url":null,"abstract":"","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118891008","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}
Abstract Context: Software development is a continuous decision-making process that mainly relies on the software engineer’s experience and intuition. One of the essential decisions in the early stages of the process is selecting the best fitting programming language ecosystem based on the project requirements. A significant number of criteria, such as developer availability and consistent documentation, in addition to the number of available options in the market, lead to a challenging decision-making process. As the selection of programming language ecosystems depends on the application to be developed and its environment, a decision model is required to analyze the selection problem using systematic identification and evaluation of potential alternatives for a development project. Method: Recently, we introduced a framework to build decision models for technology selection problems in software production. Furthermore, we designed and implemented a decision support system that uses such decision models to support software engineers with their decision-making problems. This study presents a decision model based on the framework for the programming language ecosystem selection problem. Results: The decision model has been evaluated through seven real-world case studies at seven software development companies. The case study participants declared that the approach provides significantly more insight into the programming language ecosystem selection process and decreases the decision-making process’s time and cost. Conclusion: With the decision model, software engineers can more rapidly evaluate and select programming language ecosystems. Having the knowledge in the decision model readily available supports software engineers in making more efficient and effective decisions that meet their requirements and priorities. Furthermore, such reusable knowledge can be employed by other researchers to develop new concepts and solutions for future challenges.
{"title":"A decision model for programming language ecosystem selection: Seven industry case studies","authors":"Siamak Farshidi","doi":"10.17632/3TSX8X3KC8.1","DOIUrl":"https://doi.org/10.17632/3TSX8X3KC8.1","url":null,"abstract":"Abstract Context: Software development is a continuous decision-making process that mainly relies on the software engineer’s experience and intuition. One of the essential decisions in the early stages of the process is selecting the best fitting programming language ecosystem based on the project requirements. A significant number of criteria, such as developer availability and consistent documentation, in addition to the number of available options in the market, lead to a challenging decision-making process. As the selection of programming language ecosystems depends on the application to be developed and its environment, a decision model is required to analyze the selection problem using systematic identification and evaluation of potential alternatives for a development project. Method: Recently, we introduced a framework to build decision models for technology selection problems in software production. Furthermore, we designed and implemented a decision support system that uses such decision models to support software engineers with their decision-making problems. This study presents a decision model based on the framework for the programming language ecosystem selection problem. Results: The decision model has been evaluated through seven real-world case studies at seven software development companies. The case study participants declared that the approach provides significantly more insight into the programming language ecosystem selection process and decreases the decision-making process’s time and cost. Conclusion: With the decision model, software engineers can more rapidly evaluate and select programming language ecosystems. Having the knowledge in the decision model readily available supports software engineers in making more efficient and effective decisions that meet their requirements and priorities. Furthermore, such reusable knowledge can be employed by other researchers to develop new concepts and solutions for future challenges.","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116923588","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}
Pub Date : 2020-04-01DOI: 10.1016/j.infsof.2019.106242
R. Oliveira, R. Mello, Eduardo Fernandes, Alessandro F. Garcia, C. Lucena
{"title":"Collaborative or individual identification of code smells? On the effectiveness of novice and professional developers","authors":"R. Oliveira, R. Mello, Eduardo Fernandes, Alessandro F. Garcia, C. Lucena","doi":"10.1016/j.infsof.2019.106242","DOIUrl":"https://doi.org/10.1016/j.infsof.2019.106242","url":null,"abstract":"","PeriodicalId":133352,"journal":{"name":"Inf. Softw. Technol.","volume":"65 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119760944","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}
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