Skip to content

Latest commit

 

History

History
59 lines (42 loc) · 4.96 KB

README.md

File metadata and controls

59 lines (42 loc) · 4.96 KB
Raw

Paper Reading Group

Organizational

The paper reading group meets every two weeks during the semester to discuss papers. Participation is open to all, guests are always welcome; if you are interested in receiving invitations contact the organizer.

Each session we will discuss a different paper. The paper to discuss is announced about one week in advance by the organizer. All participants are expected to read the paper before the meeting. It is recommended to take notes about insights, questions, and other points potentially worth discussing.

The goals of the reading group are:

  • Critical reflection on scientific work
  • Practice of reading and argumentation strategies
  • Exposure to a broad range of research topics
  • Practice of leading group discussions
  • The discussion is limited to one hour. The discussion is lead by a moderator, who may also set a focus for the discussion. The moderator will kick off the meeting by giving a short summary of the paper and raising a few points for discussion. The moderator should try to incorporate all participants into the discussion. The moderator role rotates through all participants. The moderator is encouraged to help with the selection of a paper that week.

Time and location: Thursdays 9:00 a.m. over BigBlueButton (link is shared in the announcement)

Organizer: Stefan Mühlbauer (muehlbauer (at) informatik.uni-leipzig.de)

Subscribe for announcements on the [email protected].

Paper Suggestions (to be extended)

The moderator is encouraged to select a paper for the session; Below are some suggestions on papers for the discussion, but feel free to add papers ;)

Methodology, Overview & Best Practises

Papers that explain methodologies, statistical methods or general concepts for research papers.
  • H. Larsson, E. Lindqvist and R. Torkar, "Outliers and Replication in Software Engineering," 2014 21st Asia-Pacific Software Engineering Conference, Jeju, 2014, pp. 207-214, doi: 10.1109/APSEC.2014.40.
  • Janet Siegmund, Norbert Siegmund, and Sven Apel. 2015. Views on internal and external validity in empirical software engineering. In Proceedings of the 37th International Conference on Software Engineering - Volume 1 (ICSE '15). IEEE Press, 9–19.
  • Klaas-Jan Stol, Paul Ralph, and Brian Fitzgerald. 2016. Grounded theory in software engineering research: a critical review and guidelines. In Proceedings of the 38th International Conference on Software Engineering (ICSE '16). Association for Computing Machinery, New York, NY, USA, 120–131. DOI:https://doi.org/10.1145/2884781.2884833
  • Mark Harman. 2007. The Current State and Future of Search Based Software Engineering. In 2007 Future of Software Engineering (FOSE '07). IEEE Computer Society, USA, 342–357. DOI:https://doi.org/10.1109/FOSE.2007.29
  • Pedro Domingos. 2012. A few useful things to know about machine learning. Commun. ACM 55, 10 (October 2012), 78–87. DOI:https://doi.org/10.1145/2347736.2347755
  • Andreas Zeller, Thomas Zimmermann, and Christian Bird. 2011. Failure is a four-letter word: a parody in empirical research. In Proceedings of the 7th International Conference on Predictive Models in Software Engineering (Promise '11). Association for Computing Machinery, New York, NY, USA, Article 5, 1–7. DOI:https://doi.org/10.1145/2020390.2020395
  • Todd Mytkowicz, Amer Diwan, Matthias Hauswirth, and Peter F. Sweeney. 2009. Producing wrong data without doing anything obviously wrong! In Proceedings of the 14th international conference on Architectural support for programming languages and operating systems (ASPLOS XIV). Association for Computing Machinery, New York, NY, USA, 265–276. DOI:https://doi.org/10.1145/1508244.1508275
  • Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabel, and Premkumar Devanbu. 2012. On the naturalness of software. In Proceedings of the 34th International Conference on Software Engineering (ICSE '12). IEEE Press, 837–847.
  • Klaas-Jan Stol and Brian Fitzgerald. 2018. The ABC of Software Engineering Research. ACM Trans. Softw. Eng. Methodol. 27, 3, Article 11 (October 2018), 51 pages. DOI:https://doi.org/10.1145/3241743

Performance & Energy

Papers concerning software performance, energy consumption and other non-functional properties
  • Bihuan Chen, Yang Liu, and Wei Le. 2016. Generating performance distributions via probabilistic symbolic execution. In Proceedings of the 38th International Conference on Software Engineering (ICSE '16). Association for Computing Machinery, New York, NY, USA, 49–60. DOI:https://doi.org/10.1145/2884781.2884794

Configurability

Misc

Papers concerning software performance, energy consumption and other non-functional properties
  • Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci Not all bugs are the same: Understanding, characterizing, and classifying bug types Journal of Systems and Software, Volume 152, 2019, pp. 165-181