[HTML][HTML] Scheduling by NSGA-II: review and bibliometric analysis

I Rahimi, AH Gandomi, K Deb, F Chen, MR Nikoo - Processes, 2022 - mdpi.com
NSGA-II is an evolutionary multi-objective optimization algorithm that has been applied to a
wide variety of search and optimization problems since its publication in 2000. This study …

Overcoming the equivalent mutant problem: A systematic literature review and a comparative experiment of second order mutation

L Madeyski, W Orzeszyna, R Torkar… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Context. The equivalent mutant problem (EMP) is one of the crucial problems in mutation
testing widely studied over decades. Objectives. The objectives are: to present a systematic …

Mutation testing advances: an analysis and survey

M Papadakis, M Kintis, J Zhang, Y Jia, Y Le Traon… - Advances in …, 2019 - Elsevier
Mutation testing realizes the idea of using artificial defects to support testing activities.
Mutation is typically used as a way to evaluate the adequacy of test suites, to guide the …

Achievements, open problems and challenges for search based software testing

M Harman, Y Jia, Y Zhang - 2015 IEEE 8th International …, 2015 - ieeexplore.ieee.org
Search Based Software Testing (SBST) formulates testing as an optimisation problem, which
can be attacked using computational search techniques from the field of Search Based …

Trivial compiler equivalence: A large scale empirical study of a simple, fast and effective equivalent mutant detection technique

M Papadakis, Y Jia, M Harman… - 2015 IEEE/ACM 37th …, 2015 - ieeexplore.ieee.org
Identifying equivalent mutants remains the largest impediment to the widespread uptake of
mutation testing. Despite being researched for more than three decades, the problem …

Optimizing existing software with genetic programming

WB Langdon, M Harman - IEEE Transactions on Evolutionary …, 2014 - ieeexplore.ieee.org
We show that the genetic improvement of programs (GIP) can scale by evolving increased
performance in a widely-used and highly complex 50000 line system. Genetic improvement …

Higher order mutation testing

Y Jia, M Harman - Information and Software Technology, 2009 - Elsevier
This paper introduces a new paradigm for Mutation Testing, which we call Higher Order
Mutation Testing (HOM Testing). Traditional Mutation Testing considers only first order …

Establishing theoretical minimal sets of mutants

P Ammann, ME Delamaro… - 2014 IEEE seventh …, 2014 - ieeexplore.ieee.org
Mutation analysis generates tests that distinguish variations, or mutants, of an artifact from
the original. Mutation analysis is widely considered to be a powerful approach to testing, and …

Search based software engineering for software product line engineering: a survey and directions for future work

M Harman, Y Jia, J Krinke, WB Langdon… - Proceedings of the 18th …, 2014 - dl.acm.org
This paper presents a survey of work on Search Based Software Engineering (SBSE) for
Software Product Lines (SPLs). We have attempted to be comprehensive, in the sense that …

Strong higher order mutation-based test data generation

M Harman, Y Jia, WB Langdon - Proceedings of the 19th ACM SIGSOFT …, 2011 - dl.acm.org
This paper introduces SHOM, a mutation-based test data generation approach that
combines Dynamic Symbolic Execution and Search Based Software Testing. SHOM targets …