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2. Metamorphic Testing: A Simple yet Effective Approach for Testing Scientific Software

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   Testing scientific software is a difficult task due to their inherent complexity and the lack of test oracles. In addition, these software systems are usually developed by end user developers who are neither normally trained as professional software developers nor testers. These factors often lead to inadequate testing. Metamorphic testing is a simple yet effective testing technique for testing such applications. Even though MT is a well-known technique in the software testing community, it is not very well utilized by the scientific software developers. The objective of this article is to present MT as an effective technique for testing scientificmore »software. To this end, we discuss why MT is an appropriate testing technique for scientists and engineers who are not primarily trained as software developers. Especially, how it can be used to conduct systematic and effective testing on programs that do not have test oracles without requiring additional testing tools.« less
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5. Fairness Testing: Testing Software for Discrimination

   Galhotra, Sainyam ; Brun, Yuriy ; Meliou, Alexandra ( September 2017 , Proceedings of 2017 11th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering)

   This paper defines the notions of software fairness and discrimination and develops a testing-based method for measuring if and how much software discriminates. Specifically, the paper focuses on measuring causality in discriminatory behavior. Modern software contributes to important societal decisions and evidence of software discrimination has been found in systems that recommend criminal sentences, grant access to financial loans and products, and determine who is allowed to participate in promotions and receive services. Our approach, Themis, measures discrimination in software by generating efficient, discrimination-testing test suites. Given a schema describing valid system inputs, Themis generates discrimination tests automatically and, notably,more »does not require an oracle. We evaluate Themis on 20 software systems, 12 of which come from prior work with explicit focus on avoiding discrimination. We find that (1) Themis is effective at discovering software discrimination, (2) state-of-the-art techniques for removing discrimination from algorithms fail in many situations, at times discriminating against as much as 98% of an input subdomain, (3) Themis optimizations are effective at producing efficient test suites for measuring discrimination, and (4) Themis is more efficient on systems that exhibit more discrimination. We thus demonstrate that fairness testing is a critical aspect of the software development cycle in domains with possible discrimination and provide initial tools for measuring software discrimination.« less