{"title":"软件项目中人力资源配置的遗传算法","authors":"Filipe D. Coelho, R. Reis, C. D. Souza","doi":"10.1109/CLEI47609.2019.235055","DOIUrl":null,"url":null,"abstract":"The search for improvement of the software development process is an endless effort. The human resources allocation is one of the challenging aspects that needs to be investigate, since it brings together many different characteristics including work experience, preferences, domain knowledge, affinities, costs, among others. This work aims to describe a genetic algorithm aimed to provide automated assistance to the allocation of members to a software development project. We also present an evaluation of the efficiency and effectiveness of this algorithm. To evaluate the algorithm, a study was conducted with CMMiDEV assessed software companies. At the end of the study, the participants answered a brief questionnaire about their experience using the algorithm.","PeriodicalId":216193,"journal":{"name":"2019 XLV Latin American Computing Conference (CLEI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Genetic Algorithm for Human Resource Allocation in Software Projects\",\"authors\":\"Filipe D. Coelho, R. Reis, C. D. Souza\",\"doi\":\"10.1109/CLEI47609.2019.235055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The search for improvement of the software development process is an endless effort. The human resources allocation is one of the challenging aspects that needs to be investigate, since it brings together many different characteristics including work experience, preferences, domain knowledge, affinities, costs, among others. This work aims to describe a genetic algorithm aimed to provide automated assistance to the allocation of members to a software development project. We also present an evaluation of the efficiency and effectiveness of this algorithm. To evaluate the algorithm, a study was conducted with CMMiDEV assessed software companies. At the end of the study, the participants answered a brief questionnaire about their experience using the algorithm.\",\"PeriodicalId\":216193,\"journal\":{\"name\":\"2019 XLV Latin American Computing Conference (CLEI)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 XLV Latin American Computing Conference (CLEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLEI47609.2019.235055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 XLV Latin American Computing Conference (CLEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEI47609.2019.235055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Genetic Algorithm for Human Resource Allocation in Software Projects
The search for improvement of the software development process is an endless effort. The human resources allocation is one of the challenging aspects that needs to be investigate, since it brings together many different characteristics including work experience, preferences, domain knowledge, affinities, costs, among others. This work aims to describe a genetic algorithm aimed to provide automated assistance to the allocation of members to a software development project. We also present an evaluation of the efficiency and effectiveness of this algorithm. To evaluate the algorithm, a study was conducted with CMMiDEV assessed software companies. At the end of the study, the participants answered a brief questionnaire about their experience using the algorithm.
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