I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference.
Briefly, the aim of this workshop is to bring together the data mining and machine learning (ML) community with the software engineering (SE) community. On one hand, there is an increasing demand and interest in Software Engineering (SE) to improve quality, reliability, cost-effectiveness and the ability to solve complex problems, which has led researchers to explore the potential and applicability of ML in SE. For example, some emerging applications of ML for SE are source code generation from requirements, automatically proving the correctness of software specifications, providing intelligent assistance to developers, and automating the software development process with planning and resource management. On the other hand, SE techniques and methodologies can be used to improve the ML process (SE for ML).
The deadline for submiting papers is the 23rd June 2021, and the format is 15 pages according to the Springer LNCS format.
All papers are welcome that are related to data mining, machine learning and software engineering. These papers can be more theoretical or applied, and from academia or the industry. If you are interested to submit but are not sure if the paper is relevant, feel free to send me an e-mail.
The papers will be published on the MLiSE 2021 website. Moreover, a Springer book and special journal issue are being planned (to be confirmed).
Hope that this is interesting and that I will see your paper submissions in MLiSE 2021 soon:-)
Philippe Fournier-Viger is a full professor working in China and founder of the SPMF open source data mining software.