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When Your Software’s “Check Engine” Light Is On: Identifying Design Problems that Impact Software Failure.

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posted on 2024-03-12, 20:59 authored by Judy HwangJudy Hwang
In the fast-moving world of Agile and DevOps, neglecting fundamental maintenance activities will likely hinder  delivery of value in the long run. Although the cost of system maintenance represents a large proportion of the budget of most organizations that use software systems, insufficient maintenance may lead to various problems, including:
  • a reduction in software quality as errors are inadvertently introduced during the development process
  • the inability to deliver customer value if a repair or enhancement cannot be delivered on time

Insufficient maintenance can cause a software system’s code and its underlying design to decay over time. This decay can make system maintenance cumbersome or render a system that cannot adapt to new business needs.  Fortunately, there are proven approaches to identify and understand design problems and improve software performance. Just as even the most reliable car needs a routine oil change and tune-up to keep running efficiently, software development processes, design, and architecture should be routinely revisited and optimized to remain effective. The “squeaky parts” that we are looking to detect are design problems that may potentially decrease performance or hinder maintenance. This blog post summarizes an effective roadmap for detecting design problems that can be used to improve software development and performance.

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Publisher Statement

This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/AZS 5 Eglin Street Hanscom AFB, MA 01731-2100. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution.

Date

2021-04-21

Copyright Statement

Copyright 2021 Carnegie Mellon University.

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