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Paper Reading Group Wiki

• Was? Jede Woche wird ein anderes Paper gelesen, vorgestellt und sich darüber ausgetasucht. Das Hauptziel ist es, Routine beim Lesen von Papern zu gewinnen und diese kritisch zu hinterfragen, auch wenn es nicht direkt das eigene Forschungsthema ist. Jede Woche ist jemand anderes mit der Vorbereitung und Moderation dran, sodass wir auch Übung im Leiten von Gruppenrunden sammeln.
• Wie und Warum? Die ganze Runde ist auf eine Stunde angesetzt und bis auf den Moderator sollten die Teilnehmer sich nicht länger als ca. eine Stunde mit dem Paper befassen. Es geht nicht darum, alles in möglichst kurzer Zeit bis ins Detail zu verstehen, sondern zu lernen, den eigenen Blick für gute und schlechte Beiträge zu schärfen.
• Wann? Freitags um 9 im DBL.

Agenda

Date	Moderator	Paper
2018-10-26	Stefan	Larsson et al.: Outliers and Replication in Software Engineering
2018-11-02	Johannes	Siegmund et al.: Views on Internal and External Validity in Empirical Software Engineering, ICSE'15.
2018-11-09	Max	Xue Han and Tingting Yu. An Empirical Study on Performance Bugs for Highly Configurable Software Systems. Proc. of ESEM: Article 23 (2016).
2018-11-23	Nicolai	Klaas-Jan Stol, Paul Ralph and Brian Fitzgerald. Grounded Theory in Software Engineering Research: A Critical Review and Guidelines. Proc. of ICSE: 120-131 (2016).
2018-11-30	André	Weimer et al.: Automatically finding patches using genetic programming
2018-12-07	Stefan	Steinmann: The Paradoxical Success of Aspect-Oriented Programming
2018-12-14	Johannes	Mark Harman. 2007. The Current State and Future of Search Based Software Engineering. In 2007 Future of Software Engineering (FOSE '07). IEEE Computer Society, Washington, DC, USA, 342-357.
2019-01-11	Max	Barry Boehm: A View of 20th and 21st Century Software Engineering, ICSE'06
2019-01-25	André	* Katz and Peled: Synthesizing, Correcting and Improving Code, Using Model Checking-Based Genetic Programming
2019-02-01	Nicolai	Röhm et al.: How do Professional Developers Comprehend Software? [Paper]
2019-02-08	Stefan	Hanenberg: An Experiment about Static and Dynamic Type Systems: Doubts about the Positive Impact of Static Type Systems on Development Time [Paper]
2019-02-15	Johannes	Domingos: A few useful things to know about machine learning [Paper]
2019-02-15	Max	Guoliang Jin, Linhai Song, Xiaoming Shi, Joel Scherpelz, and Shan Lu. Understanding and Detecting Real-world Performance Bugs. Proc. of PLDI: 77-88 (2012).
2019-02-22	André	Voelter: Embedded Software Development with Projectional Language Workbechnes [Paper]
2019-04-12	Nicolai	Parnas: On the Criteria to be Used in Decomposing Systems into Modules [Paper]
2019-05-03	Stefan	Zeller et al.: Failure is a Four-Letter Word: a Parody in Empirical Research [Paper]
	Johannes	Shu Wang, Chi Li, Henry Hoffmann, Shan Lu, William Sentosa, and Achmad Imam Kistijantoro. Understanding and Auto-Adjusting Performance-Sensitive Configurations. Proc. of ASPLOS: 154-168 (2018). [Paper]
2019-05-17	Max	Mytcowicz et al.: [Producing wrong data without doing anything obviously wrong!]
2019-05-24	André	Sousa, L., Oliveira, R., Lucena, C., Paes, R., Oliveira, A., Oizumi, W., … Fonseca, B. (2018). Identifying design problems in the source code. Proceedings of the 40th International Conference on Software Engineering - ICSE ’18.
2019-06-06	Nico	Ying Wang, Ming Wen, Zhenwei Liu, Rongxin Wu, Rui Wang, Bo Yang, Hai Yu, Zhiliang Zhu, and Shing-Chi Cheung. 2018. Do the dependency conflicts in my project matter?. In Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018). ACM, New York, NY, USA, 319-330
2019-06-06	Stefan	Andy Georges, Dries Buytaert, and Lieven Eeckhout. 2007. Statistically rigorous java performance evaluation. In Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications (OOPSLA '07). ACM, New York, NY, USA, 57-76
2019-06-21	Johannes	Yinxing Xue and Yan-Fu Li. 2018. Multi-objective integer programming approaches for solving optimal feature selection problem: a new perspective on multi-objective optimization problems in SBSE. In Proceedings of the 40th International Conference on Software Engineering (ICSE '18). ACM, New York, NY, USA, 1231-1242
2019-06-28	Max	Jacob Krüger, Jens Wiemann, Wolfram Fenske, Gunter Saake, and Thomas Leich. 2018. Do you remember this source code?. In Proceedings of the 40th International Conference on Software Engineering (ICSE '18). ACM, New York, NY, USA, 764-775
2019-07-05	André	Vincent J. Hellendoorn, Sebastian Proksch, Harald C. Gall, and Alberto Bacchelli. 2019. When code completion fails: a case study on real-world completions. In Proceedings of the 41st International Conference on Software Engineering (ICSE '19). IEEE Press, Piscataway, NJ, USA, 960-970
2019-07-12	Nicolai	Mathieu Acher, Hugo Martin, Juliana Alves Pereira, Arnaud Blouin, Djamel Eddine Khelladi, et al.. Learning From Thousands of Build Failures of Linux Kernel Configurations. [Technical Report] Inria; IRISA. 2019, pp.1-12.
2019-07-19	Stefan	Jens Meinicke, Chu-Pan Wong, Christian Kästner, Thomas Thüm, and Gunter Saake. 2016. On essential configuration complexity: measuring interactions in highly-configurable systems. In Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering(ASE 2016)
2019-07-26	Johannes	Jailton Coelho and Marco Tulio Valente. 2017. Why modern open source projects fail. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2017). ACM, New York, NY, USA, 186-196
2019-08-02	Max	Christian Kaltenecker, Alexander Grebhahn, Norbert Siegmund, Jianmei Guo, and Sven Apel. 2019. Distance-based sampling of software configuration spaces. In Proceedings of the 41st International Conference on Software Engineering (ICSE '19). IEEE Press, Piscataway, NJ, USA, 1084-1094
2019-08-09	André	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, Piscataway, NJ, USA, 837-847
2019-08-16	Nico
2019-08-23	Stefan	Huong Ha and Hongyu Zhang. 2019. DeepPerf: performance prediction for configurable software with deep sparse neural network. In Proceedings of the 41st International Conference on Software Engineering (ICSE '19). IEEE Press, Piscataway, NJ, USA, 1095-1106
2019-08-30	Johannes

Vorschläge

Find below a list of recommended articles that might be interesting talking about. Feel free to add suggestions or missing links to PDFs.

• 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
• 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). ACM, New York, NY, USA, 49-60 Paper
• Prehofer: Feature-Oriented Programming: A Fresh Look at Objects [Paper]
• Stol & Fitzgerald: The ABC of Software Engineering Research [Paper]