Finding many needles in one haystack?

Image by S. Hermann & F. Richter from Pixabay

Multiple fault localization:

A lot of defect research is focused on either localization of defects or the prediction whether a defect will be found/fixed, etc. I’m guilty to adding to the state of the art in this area with a number of articles. It’s a great line of work, nice because we can play with data and get results that can actually be verified – we can check whether a defect is or is not there.

However, in many cases, the defect can be a mistake made in a number of places – so-called a multiple fault or multiple faults. Therefore, this article, freshly from the press of IST, caught my attention. It presents a systematic review of what has been done in that area.

Turns out, not that much, but the field has been gaining popularity in the past few years.

What I like, in particular, about this paper is the fact that it asks a question about which datasets exist (see Table 8 in the paper for the full reference). I can’t wait to take a closer look at these datasets – maybe something for me PhD course in metrics next year?

Author: Miroslaw Staron

I’m professor in Software Engineering at IT faculty. I usually blog about interesting articles (for me) and my own reflections on the development of Software Engineering, AI, computer science and automotive software.