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ScopeMaster is a software requirements analysis tool designed by ScopeMaster Ltd that automates some aspects of software requirements analysis.
Description edit
ScopeMaster is the world's first commercial tool for analysing software requirements. It uses Natural Language Processing to determine the likely functional intent(s) of individual written requirements. It generates:
- Size estimates in COSMIC Function points, IFPUG function points and Simple Function Points which can be used as the inputs to software parametric models tools such as SEER SEM.
- Requirements Quality Assessment
- Other analyses including: Use Case Model Diagram, CRUD analysis and test scenarios.
"ScopeMaster, the first commercial tool, which performs a COSMIC measurement on a set of free-form textual requirements in English, and other languages. ScopeMaster performs several successive steps of analysis, individually and collectively, on the textual requirements in order to detect possible Objects of Interest, potential users, potential data movements and potential defects."[1]
According to Professor Paul Boudreau in his book Applying AI to Project Management, "ScopeMaster can expose poor requirements using NLP".[2] [3]
“Not only did I get a function point count, but it helped me to figure out how many programmers, business analysts and testers should work on the project."[4]
History edit
Competitors edit
ScopeMaster competitors include Estimancy[8] for automated sizing and Copilot4DevOps [9] for AI enhanced requirements management.
Independent Reviews edit
- Professor Paul Boudreau, in Applying Aritifical Intelligence in Project Management[2]
- Gartner Research, on AI-augmeted software development[10]
- Review by Ron Jeffries, co-signatory of Agile Manifesto[11]
- Summary review of COSMIC and ScopeMaster by Kirk Bryde, Linkedin Article, "User story sizing with ScopeMaster, is cut to literally less than a minute per story, and the resultant size is totally objective"[12]
- Architectural Assessment, by Michael Poulin[13]
References edit
- ^ Soubra Phd, Hassan; Abufrikha, Yomna; Abran, Professor Alain. "Towards Universal COSMIC Size Measurement Automation" (PDF). CEUR Workshop Proceedings. Retrieved 24 November 2023.
- ^ a b Boudreau, Paul (13 November 2019). Applying Artificial Intelligence to Project Management. Independent. pp. 127, 103. ISBN 978-1687550941.
- ^ Lighthouse Technologies (28 January 2020). "Automatically find requirement defects using Scopemaster". Lighthouse Technologies. Retrieved 22 November 2023.
- ^ Franks, Lonnie. "How AI can help with requirements analysis tools". TheServerSide. Retrieved 24 November 2023.
- ^ Hammond, Colin. "Improved Software Project Certainty" (PDF). British Computer Society. BCS. Retrieved 22 November 2023.
- ^ "Story Analyser". Jira Marketplace.
- ^ Journolink. "JournoLink Article Announcing ScopeMaster Server". Journolink.
- ^ Estimancy. "Estimancy". Estimancy.com. Retrieved 22 November 2023.
- ^ ModernRequirements. "Copilot4devOps AI requirements management assistant". ModernRequirements.
- ^ Barton, Neil; Bachu, Arun. "Critical Insights Into AI-Augmented Software Development". Gartner. Retrieved 22 November 2023.
- ^ Jeffries, Ron. "Estimation, COSMIC and Other". Ronjeffries.com. Retrieved 22 November 2023.
- ^ Bryde, Kirk. "COSMIC and ScopeMaster review". Linkedin Article. Retrieved 22 November 2023.
- ^ Poulin, Michael (21 February 2020). "Review". How to Architect. Retrieved 22 November 2023.