Continuous Testing in Agile and DevOps Environments

Abstract

Background: Continuous testing promises that every change to a software system is evaluated automatically and quickly enough for the result to shape the next decision. Many agile and DevOps teams nonetheless run large automated suites whose verdicts they no longer trust, because flaky tests, queued pipelines, and drifting environments turn a failing build into noise. Aim: The review asks how test portfolio shape, test stability, pipeline feedback latency, and environment parity jointly determine whether continuous testing yields decision-grade evidence, and how that evidence relates to delivery outcomes such as the DORA metrics. Method: A critical integrative review of software testing, continuous integration, traceability, and empirical software engineering literature published up to 2025 was interpreted through signal detection theory and queueing-based feedback control. Results: Execution speed and suite size are weak proxies for assurance. The positive predictive value of a failing build collapses as small per-test flake rates compound across large suites, and latency that outlasts the developer's working context converts feedback into rework. Contribution: The article proposes the Continuous Testing Signal Integrity (CTSI) framework, which separates detection capability, false-alarm burden, feedback latency, environment fidelity, and production evidence, and states six falsifiable propositions with a stepped-wedge validation design. Conclusion: Continuous testing should be governed as a measurement instrument whose reliability is itself monitored; the propositions are untested and are offered for prospective evaluation.