SEMay 20, 2017

Field Testing of Software Applications

arXiv:1705.07359v13 citations
Originality Synthesis-oriented
AI Analysis

It addresses software reliability for users by shifting testing to the field, though it is incremental as it builds on existing testing concepts.

This thesis tackles the problem of software crashes and failures in the field by proposing to use the field itself as a testbed, enabling testing in diverse environments to reveal hard-to-detect issues.

When interacting with their software systems, users may have to deal with problems like crashes, failures, and program instability. Faulty software running in the field is not only the consequence of ineffective in-house verification and validation techniques, but it is also due to the complexity and diversity of the interactions between an application and its environment. Many of these interactions can be hardly predicted at testing time, and even when they could be predicted, often there are so many cases to be tested that they cannot be all feasibly addressed before the software is released. This Ph.D. thesis investigates the idea of addressing the faults that cannot be effectively addressed in house directly in the field, exploiting the field itself as testbed for running the test cases. An enormous number of diverse environments would then be available for testing, giving the possibility to run many test cases in many different situations, timely revealing the many failures that would be hard to detect otherwise.

Foundations

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