* ICSE 2018 *
Sun 27 May - Sun 3 June 2018 Gothenburg, Sweden
Wed 30 May 2018 17:15 - 17:30 at E3 room - Mining, Verifying, and Learning Chair(s): Mukul Prasad

Recent research provides evidence that effective communication in collaborative software development has significant impact on the software development lifecycle. Although related qualitative and quantitative studies point out textual characteristics of well-formed messages, the underlying semantics of the intertwined linguistic structures still remain largely misinterpreted or ignored. Especially, regarding quality of code reviews the importance of thorough feedback, and explicit rationale is often mentioned but rarely linked with related linguistic features. As a first step towards addressing this shortcoming, we propose grounding these studies on theories of linguistics. We particularly focus on linguistic structures of coherent speech and explain how they can be exploited in practice. We reflect on related approaches and examine through a preliminary study on four open source projects, possible links between existing findings and the directions we suggest for detecting textual features of useful code reviews.

Wed 30 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:00 - 17:30
Mining, Verifying, and LearningNIER - New Ideas and Emerging Results at E3 room
Chair(s): Mukul Prasad Fujitsu Laboratories of America
16:00
15m
Talk
Mining Container Image Repositories---MSR for Software Configurations and Beyond
NIER - New Ideas and Emerging Results
Tianyin Xu University of Illinois at Urbana-Champaign, Darko Marinov University of Illinois at Urbana-Champaign
Pre-print
16:15
15m
Talk
Explainable Software Analytics
NIER - New Ideas and Emerging Results
Hoa Khanh Dam University of Wollongong, Truyen Tran , Aditya Ghose
Pre-print
16:30
15m
Talk
Generalizing Specific-Instance Interpolation Proofs with SyGuS
NIER - New Ideas and Emerging Results
Muqsit Azeem , Kumar Madhukar TCS Innovation Labs (TRDDC), R Venkatesh
16:45
15m
Talk
Efficient Parametric Model Checking Using Domain-Specific Modelling Patterns
NIER - New Ideas and Emerging Results
Radu Calinescu University of York, UK, Kenneth Johnson , Colin Paterson
17:00
15m
Talk
Deep Learning UI Design Patterns of Mobile Apps
NIER - New Ideas and Emerging Results
17:15
15m
Short-paper
Code Review Comments: Language matters
NIER - New Ideas and Emerging Results
Vasiliki Efstathiou Athens University of Economics and Business, Diomidis Spinellis Athens University of Economics and Business
DOI Pre-print