REVIEW 1 cited by
Mitigating Configuration Differences Between Development and Production Environments: A Catalog of Strategies
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Context: The Configuration Management of the development and production environments is an important aspect of IT operations. However, managing the configuration differences between these two environments can be challenging, leading to inconsistent behavior, unexpected errors, and increased downtime. Objective: In this study, we sought to investigate the strategies software companies employ to mitigate the configuration differences between the development and production environments. Our goal is to provide a comprehensive understanding of these strategies used to contribute to reducing the risk of configuration-related issues. Method: To achieve this goal, we interviewed 17 participants and leveraged the Thematic Analysis methodology to analyze the interview data. These participants shed some light on the current practices, processes, challenges, or issues they have encountered. Results: Based on the interviews, we systematically formulated and structured a catalog of eight strategies that explain how software producing companies mitigate these configuration differences. These strategies vary from 1) creating detailed configuration management plans, 2) using automation tools, and 3) developing processes to test and validate changes through containers and virtualization technologies. Conclusion: By implementing these strategies, companies can improve their ability to respond quickly and effectively to changes in the production environment. In addition, they can also ensure compliance with industry standards and regulations.
Forward citations
Cited by 1 Pith paper
-
SetupBench: Assessing Software Engineering Agents' Ability to Bootstrap Development Environments
SetupBench, a 93-instance environment-bootstrap benchmark, finds coding agents succeed on only 34.4-62.4% of setup tasks, with database configuration and repo setup being the hardest.
Discussion (0). Sign in to comment.