{"title":"软件Musification","authors":"Andrea Mancino, G. Scanniello","doi":"10.1109/iV.2017.28","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an approach that uses software metrics to comprehend attributes of a codebase: maintainability, reusability, or complexity. This approach is new because it uses gathered metrics as the basis to associate musical sounds to source code classes. These sounds are arranged to compose a melody that can be both visualized (as a musical score) and played. We named this new way to deal with a codebase: software musification. To prove the validity of our proposal, we show a sample of its application. The main goal of this paper is to show our promising idea and to present research achievements at the early stages of our research.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Software Musification\",\"authors\":\"Andrea Mancino, G. Scanniello\",\"doi\":\"10.1109/iV.2017.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an approach that uses software metrics to comprehend attributes of a codebase: maintainability, reusability, or complexity. This approach is new because it uses gathered metrics as the basis to associate musical sounds to source code classes. These sounds are arranged to compose a melody that can be both visualized (as a musical score) and played. We named this new way to deal with a codebase: software musification. To prove the validity of our proposal, we show a sample of its application. The main goal of this paper is to show our promising idea and to present research achievements at the early stages of our research.\",\"PeriodicalId\":410876,\"journal\":{\"name\":\"2017 21st International Conference Information Visualisation (IV)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 21st International Conference Information Visualisation (IV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iV.2017.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st International Conference Information Visualisation (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iV.2017.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we propose an approach that uses software metrics to comprehend attributes of a codebase: maintainability, reusability, or complexity. This approach is new because it uses gathered metrics as the basis to associate musical sounds to source code classes. These sounds are arranged to compose a melody that can be both visualized (as a musical score) and played. We named this new way to deal with a codebase: software musification. To prove the validity of our proposal, we show a sample of its application. The main goal of this paper is to show our promising idea and to present research achievements at the early stages of our research.
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