Alison Fernandez Blanco, Juan Pablo Sandoval Alcocer, Alexandre Bergel
{"title":"Effective Visualization of Object Allocation Sites","authors":"Alison Fernandez Blanco, Juan Pablo Sandoval Alcocer, Alexandre Bergel","doi":"10.1109/VISSOFT.2018.00013","DOIUrl":null,"url":null,"abstract":"Profiling the memory consumption of a software execution is usually carried out by characterizing calling-context trees. However, the plurality nature of this data-structure makes it difficult to adequately and efficiently exploit in practice. As a consequence, most of anomalies in memory footprints are addressed either manually or in an ad-hoc way. We propose an interactive visualization of the execution context related to object productions. Our visualization augments the traditional calling-context tree with visual cues to characterize object allocation sites.We performed a qualitative study involving eight software engineers conducting a software execution memory assessment. As a result, we found that participants find our visualization as beneficial to characterizing a memory consumption and to reducing the overall memory footprint.","PeriodicalId":412558,"journal":{"name":"2018 IEEE Working Conference on Software Visualization (VISSOFT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Working Conference on Software Visualization (VISSOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISSOFT.2018.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Profiling the memory consumption of a software execution is usually carried out by characterizing calling-context trees. However, the plurality nature of this data-structure makes it difficult to adequately and efficiently exploit in practice. As a consequence, most of anomalies in memory footprints are addressed either manually or in an ad-hoc way. We propose an interactive visualization of the execution context related to object productions. Our visualization augments the traditional calling-context tree with visual cues to characterize object allocation sites.We performed a qualitative study involving eight software engineers conducting a software execution memory assessment. As a result, we found that participants find our visualization as beneficial to characterizing a memory consumption and to reducing the overall memory footprint.