{"title":"构建团队质量公式预测大学生软件工程项目产品质量","authors":"Umi Sa’adah, Maulidan Bagus Afridian Rasyid, S. Rochimah, Umi Laili Yuhana","doi":"10.1109/ICTS52701.2021.9607916","DOIUrl":null,"url":null,"abstract":"In the CHAOS report 2020 released by the Standish Group, “a good team” is an essential factor in determining the success of a project. Therefore, team quality assessment becomes significant for team management. Furthermore, it has believed that the quality of the product developed represents the quality of the development team. For this reason, it is necessary to measure the quality of the team at any point, so we can take mitigation steps to improve the quality. The study has two aims: (1) to build a team quality measurement model to prove that team quality positively correlates with product quality and (2) to produce a team quality formula to predict product quality. We conducted the study on ten teams with 57 students who attended the Software Development Workshop class. The students applied self-assessment to assess the quality of the team. In addition, software development practitioners carried out product quality assessments. The method used to obtain a relationship between the two is the Pearson correlation. We generated a team quality measurement formula using the Brute Force method. This study proves that the quality of the development team has a positive correlation with the quality of the product developed by 0.87. Meanwhile, the team quality formula can be used as a reference to predict the quality of the product developed","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"108 1","pages":"106-111"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Generating Team Quality Formula to Predict Product Quality in Software Engineering Project of College Students\",\"authors\":\"Umi Sa’adah, Maulidan Bagus Afridian Rasyid, S. Rochimah, Umi Laili Yuhana\",\"doi\":\"10.1109/ICTS52701.2021.9607916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the CHAOS report 2020 released by the Standish Group, “a good team” is an essential factor in determining the success of a project. Therefore, team quality assessment becomes significant for team management. Furthermore, it has believed that the quality of the product developed represents the quality of the development team. For this reason, it is necessary to measure the quality of the team at any point, so we can take mitigation steps to improve the quality. The study has two aims: (1) to build a team quality measurement model to prove that team quality positively correlates with product quality and (2) to produce a team quality formula to predict product quality. We conducted the study on ten teams with 57 students who attended the Software Development Workshop class. The students applied self-assessment to assess the quality of the team. In addition, software development practitioners carried out product quality assessments. The method used to obtain a relationship between the two is the Pearson correlation. We generated a team quality measurement formula using the Brute Force method. This study proves that the quality of the development team has a positive correlation with the quality of the product developed by 0.87. Meanwhile, the team quality formula can be used as a reference to predict the quality of the product developed\",\"PeriodicalId\":6738,\"journal\":{\"name\":\"2021 13th International Conference on Information & Communication Technology and System (ICTS)\",\"volume\":\"108 1\",\"pages\":\"106-111\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 13th International Conference on Information & Communication Technology and System (ICTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTS52701.2021.9607916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTS52701.2021.9607916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generating Team Quality Formula to Predict Product Quality in Software Engineering Project of College Students
In the CHAOS report 2020 released by the Standish Group, “a good team” is an essential factor in determining the success of a project. Therefore, team quality assessment becomes significant for team management. Furthermore, it has believed that the quality of the product developed represents the quality of the development team. For this reason, it is necessary to measure the quality of the team at any point, so we can take mitigation steps to improve the quality. The study has two aims: (1) to build a team quality measurement model to prove that team quality positively correlates with product quality and (2) to produce a team quality formula to predict product quality. We conducted the study on ten teams with 57 students who attended the Software Development Workshop class. The students applied self-assessment to assess the quality of the team. In addition, software development practitioners carried out product quality assessments. The method used to obtain a relationship between the two is the Pearson correlation. We generated a team quality measurement formula using the Brute Force method. This study proves that the quality of the development team has a positive correlation with the quality of the product developed by 0.87. Meanwhile, the team quality formula can be used as a reference to predict the quality of the product developed