Applying Software Defect Estimations: Using a Risk Matrix for Tuning Test Effort
James Cusick

TL;DR
This paper introduces a Test Risk Matrix that visualizes defect estimation data, aiding decision-making and risk assessment in large-scale software development.
Contribution
It presents a novel application of a risk matrix for tuning test effort based on defect estimations, enhancing management tools.
Findings
Proven effectiveness in multiple large-scale releases
Clarifies risks in development planning meetings
Improves decision-making regarding test activities
Abstract
Applying software defect esimation techniques and presenting this information in a compact and impactful decision table can clearly illustrate to collaborative groups how critical this position is in the overall development cycle. The Test Risk Matrix described here has proven to be a valuable addition to the management tools and approaches used in developing large scale software on several releases. Use of this matrix in development planning meetings can clarify the attendant risks and possible consequences of carrying out or bypassing specific test activities.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoftware Reliability and Analysis Research · Software Engineering Research · Software Testing and Debugging Techniques
