Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 150 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 35 tok/s Pro
GPT-5 High 27 tok/s Pro
GPT-4o 95 tok/s Pro
Kimi K2 220 tok/s Pro
GPT OSS 120B 433 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Optimization of Software Quality Using Management and Technical Review Techniques (1412.3289v1)

Published 10 Dec 2014 in cs.SE

Abstract: Optimizing the quality of software is a function of the degree of reviews made during the early life of a software development process. Reviews detect errors and potential errors early in the software development process. The errors detected during the early life cycle of software are least expensive to correct. Efficient involvement in software inspections and technical reviews, help developers improve their own skills, thereby mitigating the occurrence of errors in the later stage of software development process. The ideas gathered on this paper point that a properly implemented program of technical and management reviews drastically reduces the time as well as the cost required for testing, debugging, and reworking, and dramatically improves the quality of the resulting product. This paper, Optimization of Software Quality using management and technical Review Techniques, provides its readers with the opportunity to learn about and experience using this indispensable software quality tools.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.