Alberto Avritzer, D. Menasché, V. Rufino, B. Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz
{"title":"PPTAM","authors":"Alberto Avritzer, D. Menasché, V. Rufino, B. Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz","doi":"10.1145/3302541.3311961","DOIUrl":null,"url":null,"abstract":"It is mandatory to continuously assess software systems during development and operation, e.g., through testing and monitoring, to make sure that they meet their required level of performance. In our previous work, we have developed an approach to assess the degree to which configurations of a software system meet performance criteria based on a domain metric that is obtained by considering operational profiles and results from load test experiments. This paper presents our PPTAM tooling infrastructure that automates our approach and provides a dashboard visualization of the results.","PeriodicalId":231712,"journal":{"name":"Companion of the 2019 ACM/SPEC International Conference on Performance Engineering","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion of the 2019 ACM/SPEC International Conference on Performance Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3302541.3311961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
It is mandatory to continuously assess software systems during development and operation, e.g., through testing and monitoring, to make sure that they meet their required level of performance. In our previous work, we have developed an approach to assess the degree to which configurations of a software system meet performance criteria based on a domain metric that is obtained by considering operational profiles and results from load test experiments. This paper presents our PPTAM tooling infrastructure that automates our approach and provides a dashboard visualization of the results.