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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.

Conference Day
Wed 11 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

17:30 - 18:00
17:30
2m
Talk
API Method Recommendation via Explicit Matching of Functionality Verb Phrases
Research Papers
Wenkai XieFudan University, China, Xin PengFudan University, China, Mingwei LiuFudan University, China, Christoph TreudeUniversity of Adelaide, Australia, Zhenchang XingAustralian National University, Australia, Xiaoxin ZhangFudan University, China, Wenyun ZhaoFudan University, China
DOI
17:33
1m
Talk
Code Recommendation for Exception Handling
Research Papers
Tam NguyenAuburn University, USA, Phong VuAuburn University, USA, Tung NguyenAuburn University, USA
DOI
17:35
1m
Talk
eQual: Informing Early Design Decisions
Research Papers
Arman ShahbazianGoogle, USA, Suhrid KarthikUniversity of Southern California, USA, Yuriy BrunUniversity of Massachusetts Amherst, Nenad MedvidovićUniversity of Southern California, USA
Link to publication DOI Pre-print Media Attached
17:37
1m
Talk
Recommending Stack Overflow Posts for Fixing Runtime Exceptions using Failure Scenario Matching
Research Papers
Sonal MahajanFujitsu Labs, USA, Negarsadat AbolhassaniUniversity of Southern California, USA, Mukul R. PrasadFujitsu Labs, USA
DOI Pre-print Media Attached
17:39
1m
Talk
Recommender Systems: Metric Suggestion Mechanisms Applied to Adaptable Software Dashboards
Student Research Competition
Dragos StrugarInnopolis University, Russia
DOI
17:41
1m
Talk
Understanding the Impact of GitHub Suggested Changes on Recommendations between Developers
Research Papers
Chris BrownNorth Carolina State University, USA, Chris ParninNorth Carolina State University, USA
DOI
17:43
17m
Talk
Conversations on Recommendation
Paper Presentations
Chris BrownNorth Carolina State University, USA, Dragos StrugarInnopolis University, Russia, Mingwei LiuFudan University, China, Sonal MahajanFujitsu Labs, USA, Arman ShahbazianUniversity of Southern California, M: Massimiliano Di PentaUniversity of Sannio, Italy