Natural Language Processing and Traceability in Software Artifacts

An IPA online course day will take place Monday, September 27th 2021, starting at 10:00. (Due to circumstances, this course day has been postponed from September 9th to September 27th.)

The course day will be on Natural Language Processing and Traceability in Software Artifacts, and be presented by Andrea Capiluppi.

Content

In this course day, participants will learn how to use Deep Learning and Natural Language Processing to extract features and concepts from Requirement Documents, and trace them into the Design and Testing phases.

IPA’s Advanced Courses

IPA organises Advanced Courses on each of its major research fields: Algorithmics and Complexity, Formal Methods and Software Technology. Each of these Advanced Courses intends to give an overview of (part of) the research of IPA in this specific field.

The Advanced Courses focus on subject areas where successful research is being conducted by groups in IPA, with some prominent (inter)national speakers as well. Course components consist of lectures mixed with active training (exercises, assignments, etc.).

Outside pandemic times, these Advanced Courses are scheduled as five consecutive course days on site, typically at TU/e. For now, we instead schedule a series of standalone online course days for each of the three research fields.

Required for Credit

As part of the IPA educational programme, IPA PhD candidates are required to follow the three advanced courses but are exempted for the advanced course that covers the field of specialisation of the candidate (but welcome to follow it). Following the Advanced Course for a field and obtaining credit for it (2 ECTS) normally requires attending at least 4 course days from that field’s course week; in pandemic times, it requires attending 4 course days from the course day series for the field.

Registration and preparation

Please register here (we just ask for your e-mail, first and last name, affiliation, and background (IPA / non-IPA, PhD candidate / staff member).

Registration closes Wednesday September 22nd 13:00, after which the meeting link (likely MS Teams) and details will be sent around.

Schedule

The overall schedule of the course days is as follows: course days will start at 10.00 and last until approximately 16.00 hours. There will be one or two short breaks in the morning and afternoon at the discretion of the lecturer, and a longer lunch break at, roughly, 12.15-13.30.