Search-Based Software Engineering
This thesis explores the idea of applying genetic improvement in the aim of injecting vulnerabilities into programs. Generating vulnerabilities automatically in this manner would allow creating datasets of vulnerable programs. This would, in turn, help training machine-learning models to detect vulnerabilities more efficiently.
Application Programming Interfaces, known as APIs, are increasingly popular in modern web applications. With APIs, users around the world are able to access a plethora of data contained in numerous server databases.
Version française : https://nouvelles.unamur.be/upnews.2021-10-18.2189995459/view.
Last Monday and Tuesday 11 and 12 October 2021 took place the 13th edition of the Symposium on Search-Based Software Engineering (SSBSE ’21). This symposium is held every year and brings together specialists in evolutionary computation applied to software engineering (SBSE).