Alternatives for Testing of Context-Aware Contemporary Software Systems in industrial settings: Results from a Rapid review
Context: Context-aware contemporary software systems (CACSS) are mainstream. Furthermore, they present challenges for current engineering practices. These challenges are distinctively present when testing CACSS, as the variation of context deepens the limitations of available software testing practi...
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Zusammenfassung: | Context: Context-aware contemporary software systems (CACSS) are mainstream.
Furthermore, they present challenges for current engineering practices. These
challenges are distinctively present when testing CACSS, as the variation of
context deepens the limitations of available software testing practices and
technologies. Objective: To understand how the industry deals with the
variation of context when testing CACSS. Method: A Rapid Review was
commissioned to uncover the necessary evidence to achieve the objectives.
Results: Our results show that current research initiatives aim to generate or
improve Test Suites that can deal with the variation of context and the sheer
volume of test input possibilities. To achieve this, they mostly rely on
modelling the systems' dynamic behavior and increasing computing resources to
generate test inputs. We found no evidence of research results aiming at
managing context variation through the testing lifecycle process. Conclusions:
We discuss how the identified solutions are not ready for mainstream adoption.
They are all domain-specific, and while the ideas and approaches can be
reproduced in different settings, the technologies noon to be re-engineered and
tailor to the specific CACSS. |
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DOI: | 10.48550/arxiv.2104.01343 |