CS 692P: Hot Topics in Software Engineering Research

Fall 2018

News:

The class will be held in LGRC, room A310, on Wednesdays, 11:15AM–12:05PM. The first class will be September 12, 2018.

Description:

CS 692P is a seminar-style course that introduces students to the cutting edge literature in software engineering and programming languages.

Logistics:

Room:	Lederle Graduate Research Center (LGRC), room A310
Lecture:	Wednesday 11:15AM–12:05PM
Instructor:	Yuriy Brun office: 346 computer science building office hours: Tuesday 11:15PM–12:00PM email:

Grading:

Each student is responsible for (1) suggesting papers to read, and (2) presenting one paper during the semester.

Schedule:

(subject to change; check regularly)

week	date	paper	presenter
Week 1	Sep 12	Organizational meeting	Yuriy
Week 2	Sep 19	A General Path-Based Representation for Predicting Program Properties	Emily First
Week 3	Sep 26	Rousillon: Scraping Distributed Hierarchical Web Data	Subbu Rongali
Week 4	Oct 3	NO CLASS (Attend Sarah Chasins' talk at 4PM in CS 151 instead
Week 5	Oct 10	Practical AJAX Race Detection for JavaScript Web Applications	Joseph Spitzer
Week 6	Oct 17	Component-Based Synthesis for Complex APIs	Donald Pinckney
Week 7	Oct 24	Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments	Rico Angell
Week 8	Oct 31	Enlightened Debugging	Brittany Johnson
Week 9	Nov 7	Someone Like Me: How Does Peer Parity Influence Participation of Women on Stack Overflow?	Angela Upreti
Week 10	Nov 14	NO CLASS (Monday schedule)
Week 11	Nov 21	NO CLASS (Thanksgiving)
Week 12	Nov 28	Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction	Osman Din
Week 13	Dec 5	EffectiveSan: Type and Memory Error Detection using Dynamically Typed C/C++	Abhinav Jangda
Week 14	Dec 12	Better test cases for better automated program repair	Manish Motwani

Nondiscrimination policy:

This class includes and welcomes all students regardless of age, background, citizenship, disability, sex, education, ethnicity, family status, gender, gender identity, geographical origin, language, military experience, political views, race, religion, sexual orientation, socioeconomic status, and work experience. Our discussions and learning will benefit from these and other diverse points of view. Any kind of language or action displaying bias against or discriminating against members of any group, or making members of any group uncomfortable are against the mission of this course and will not be tolerated. The instructor welcomes discussion of this policy, and encourages anyone experiencing concerns to speak with him.

Academic integrity:

Students are allowed to work together on all aspects of this class. Students are encouraged to use the Internet, literature, and other publicly-available resources, but must disclose whenever such materials were used, e.g., in the preparation of the in-class presentation.

The students should familiarize themselves with the UMass Academic Honesty Policy and Guidelines for Classroom Civility and Respect. These policies and guidelines apply to this class.

Students who violate University standards of academic integrity are subject to disciplinary sanctions, including failure in the course and suspension from the university. Since dishonesty in any form harms the individual, other students, and the university, policies on academic integrity have been and will be strictly enforced.