Sun 4 Nov 2018 10:30 - 10:45 at Rock Lake - NL4SE Workshop II

A broad class of software engineering problems can be generalized as the "total recall problem". This short paper claims that identifying and exploring the total recall problems in software engineering is an important task with wide applicability.

To make that case, we show that by applying and adapting the state of the art active learning and natural language processing algorithms for solving the total recall problem, two important software engineering tasks can also be addressed : (a) supporting large literature reviews and (b) identifying software security vulnerabilities. Furthermore, we conjecture that (c) test case prioritization and (d) static warning identification can also be generalized as and benefit from the total recall problem.

The widespread applicability of "total recall" to software engineering suggests that there exists some underlying framework that encompasses not just natural language processing, but a wide range of important software engineering tasks.

Conference Day
Sun 4 Nov

Displayed time zone: Guadalajara, Mexico City, Monterrey change

10:30 - 12:00
NL4SE Workshop IINL4SE at Rock Lake
10:30
15m
Talk
Total Recall, Language Processing, and Software Engineering
NL4SE
10:45
15m
Talk
Is “Naturalness” a Result of Deliberate Choice?
NL4SE
Kevin LeeUniversity of California at Davis, USA, Casey CasalnuovoUniversity of California at Davis, USA
11:00
15m
Talk
A Fine-Grained Approach for Automated Conversion of JUnit Assertions to English
NL4SE
Danielle GonzalezRochester Institute of Technology, USA, Suzanne PrenticeUniversity of South Carolina, USA, Mehdi MirakhorliRochester Institute of Technology
11:15
15m
Talk
TestNMT: Function-to-Test Neural Machine Translation
NL4SE
Robert WhiteUniversity College London, UK, Jens KrinkeUniversity College London
11:30
15m
Talk
3CAP: Categorizing the Cognitive Capabilities of Alzheimer’s Patients in a Smart Home Environment
NL4SE
Kate M. Bowers, Reihaneh H. HaririOakland University, USA, Katey A. PriceAlbion College, USA
11:45
15m
Talk
Generating Comments from Source Code with CCGs
NL4SE
Sergey MatskevichDrexel University, USA, Colin GordonDrexel University