SEApr 18, 2020

Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing

arXiv:2004.08518v1
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of improving test oracles for automated test generation in software testing, but it appears incremental as it builds on existing metamorphic testing concepts.

The paper tackled the problem of low fault detection effectiveness in automatically generated test suites due to trivial oracles, and found that using metamorphic relations increased this effectiveness, though no concrete numbers were provided.

Automated test generation has helped to reduce the cost of software testing. However, developing effective test oracles for these automatically generated test inputs is a challenging task. Therefore, most automated test generation tools use trivial oracles that reduce the fault detection effectiveness of these automatically generated test cases. In this work, we provide results of an empirical study showing that utilizing metamorphic relations can increase the fault detection effectiveness of automatically generated test cases.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes