References of "Rwemalika, Renaud 50029326"
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See detailThe Importance of Accounting for Real-World Labelling When Predicting Software Vulnerabilities
Jimenez, Matthieu; Rwemalika, Renaud UL; Papadakis, Mike UL et al

in Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) (2019)

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See detailAn Empirical Study on Vulnerability Prediction of Open-Source Software Releases
Jimenez, Matthieu; Rwemalika, Renaud UL; Papadakis, Mike UL et al

in Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) (2019)

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See detailOn the Evolution of Keyword-Driven Test Suites
Rwemalika, Renaud UL; Kintis, Marinos UL; Papadakis, Mike UL et al

in 12th IEEE International Conference on Software Testing, Verification and Validation (2019)

Many companies rely on software testing to verify that their software products meet their requirements. However, test quality and, in particular, the quality of end-to-end testing is relatively hard to ... [more ▼]

Many companies rely on software testing to verify that their software products meet their requirements. However, test quality and, in particular, the quality of end-to-end testing is relatively hard to achieve. The problem becomes challenging when software evolves, as end-to-end test suites need to adapt and conform to the evolved software. Unfortunately, end-to-end tests are particularly fragile as any change in the application interface, e.g., application flow, location or name of graphical user interface elements, necessitates a change in the tests. This paper presents an industrial case study on the evolution of Keyword-Driven test suites, also known as Keyword-Driven Testing (KDT). Our aim is to demonstrate the problem of test maintenance, identify the benefits of Keyword-Driven Testing and overall improve the understanding of test code evolution (at the acceptance testing level). This information will support the development of automatic techniques, such as test refactoring and repair, and will motivate future research. To this end, we identify, collect and analyze test code changes across the evolution of industrial KDT test suites for a period of eight months. We show that the problem of test maintenance is largely due to test fragility (most commonly-performed changes are due to locator and synchronization issues) and test clones (over 30% of keywords are duplicated). We also show that the better test design of KDT test suites has the potential for drastically reducing (approximately 70%) the number of test code changes required to support software evolution. To further validate our results, we interview testers from BGL BNP Paribas and report their perceptions on the advantages and challenges of keyword-driven testing. [less ▲]

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See detailCan we automate away the main challenges of end-to-end testing?
Rwemalika, Renaud UL; Kintis, Marinos UL; Papadakis, Mike UL et al

Scientific Conference (2018, December 11)

Agile methodologies enable companies to drastically increase software release pace and reduce time-to-market. In a rapidly changing environment, testing becomes a cornerstone of the software development ... [more ▼]

Agile methodologies enable companies to drastically increase software release pace and reduce time-to-market. In a rapidly changing environment, testing becomes a cornerstone of the software development process, guarding the system code base from the insertion of faults. To cater for this, many companies are migrating manual end-to-end tests to automated ones. This migration introduces several challenges to the practitioners. These challenges relate to difficulties in the creation of the automated tests, their maintenance and the evolution of the test code base. In this position paper, we discuss our preliminary results on such challenges and present two potential solutions to these problems, focusing on keyword-driven end-to-end tests. Our solutions leverage existing software artifacts, namely the test suite and an automatically-created model of the system under test, to support the evolution of keyword-driven test suites. [less ▲]

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