Learning from Contributions

2021-2022 Spring
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

Social coding is a software development approach that provides a collaborative environment to developers, encouraging them to share and discuss new ideas and knowledge. Such collaborative environments implement a communication channel between developers and software users, enabling them to contribute to products by acquiring what their users really think of their products, which aspect they care about the most, what functionality they are still expecting, etc. There are many shapes of contributions to software development (i.e., pull-request, mailing lists, commit logs, issue reports, RFCs, social media, etc.), and these contributions generate a high volume of communication data the software development tasks such as documentation, internationalization, reporting an issue, adding some tests, reproducing a bug, fixing a reported bug, adding requested feature, remove unused or redundant code, etc... Such communication data exists mainly as unstructured data. Extraction and processing of unstructured data are challenging. 

In this project, our objective is to gather and analyze various communication data in software development towards learning contributions and relate them to the characteristics of the software products and processes. 

This project requires experience in programming, as the main activities involves data acquisition and preparation from software development artifacts including source code, source control management systems, issue tracking systems, mailing lists, etc. Knowledge of open-source software development is desired.

If you are interested in applying to this project, please write a short letter of motivation, highlighting your key skills and motivation for applying this project before the application deadline (February 11, 2022, 23:59). 

Related Areas of Project: 
Computer Science and Engineering

About Project Supervisors

Anıl Koyuncu


Faculty of Engineering and Natural Sciences