ESEC/FSE 2020 (series) / Student Research Competition /
Recommender Systems: Metric Suggestion Mechanisms Applied to Adaptable Software Dashboards
Wed 11 Nov 2020 17:39 - 17:40 at Virtual room 1 - Recommendation
Dashboards are software systems aiming to amplify cognition capitalizing on human perceptual abilities. As such, they have intrinsically a human-centric approach, meaning that their purpose is to support effective decision making. This has played a vital role in their success in business performance management, business intelligence, and internal control. However, as today's business requirements change rapidly and continuously, dashboards containing the same set of metrics throughout quickly become ineffective at conveying important information, especially when used by multiple users. This is one of the reasons for adopting the concept of "precooked" dashboards, i.e., building a default template that is useful to an average user.
Wed 11 NovDisplayed time zone: (UTC) Coordinated Universal Time change
Wed 11 Nov
Displayed time zone: (UTC) Coordinated Universal Time change
17:30 - 18:00 | RecommendationStudent Research Competition / Research Papers / Paper Presentations at Virtual room 1 | ||
17:30 2mTalk | API Method Recommendation via Explicit Matching of Functionality Verb Phrases Research Papers Wenkai Xie Fudan University, China, Xin Peng Fudan University, China, Mingwei Liu Fudan University, China, Christoph Treude University of Adelaide, Australia, Zhenchang Xing Australian National University, Australia, Xiaoxin Zhang Fudan University, China, Wenyun Zhao Fudan University, China DOI | ||
17:33 1mTalk | Code Recommendation for Exception Handling Research Papers Tam Nguyen Auburn University, USA, Phong Vu Auburn University, USA, Tung Nguyen Auburn University, USA DOI | ||
17:35 1mTalk | eQual: Informing Early Design Decisions Research Papers Arman Shahbazian Google, USA, Suhrid Karthik University of Southern California, USA, Yuriy Brun University of Massachusetts Amherst, Nenad Medvidović University of Southern California, USA Link to publication DOI Pre-print Media Attached | ||
17:37 1mTalk | Recommending Stack Overflow Posts for Fixing Runtime Exceptions using Failure Scenario Matching Research Papers Sonal Mahajan Fujitsu Labs, USA, Negarsadat Abolhassani University of Southern California, USA, Mukul Prasad Fujitsu Labs, USA DOI Pre-print Media Attached | ||
17:39 1mTalk | Recommender Systems: Metric Suggestion Mechanisms Applied to Adaptable Software Dashboards Student Research Competition Dragos Strugar Innopolis University, Russia DOI | ||
17:41 1mTalk | Understanding the Impact of GitHub Suggested Changes on Recommendations between Developers Research Papers DOI | ||
17:43 17mTalk | Conversations on Recommendation Paper Presentations Chris Brown North Carolina State University, USA, Dragos Strugar Innopolis University, Russia, Mingwei Liu Fudan University, China, Sonal Mahajan Fujitsu Labs, USA, Arman Shahbazian University of Southern California, M: Massimiliano Di Penta University of Sannio, Italy | ||