To have a perfectly functional code for a very long time you have to be diligent and honest with tech debt just like you are with your financial debt. As soon as the due date arrives, that is the existence of tech debt is noticed; you should pay it off by reworking on it without ignoring or making any delay. If you delay and keep it unattended for a long time, the interest gets accrued fast, and it reaches unmanageable limits. With the growing of the software and its age, managing a faulty code becomes very difficult, if not entirely impossible.

Technical Debt Management

Therefore, tech debt management becomes the core problem of the company as it is detected. Most of the time blame game starts immediately after identification with no one taking the responsibility to work on and fix it, leave alone admitting the blame. It is the job of the management to understand and make others understand the meaning, cause, and effect of tech debt in code. The Proper tech debt management system will enable us to sustain a perfect balance between the pace of innovation along with maintaining the quality of the code as desired with proper, trusted, and ethical engineering practices.

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Have A Common Vision

All the teams along with all the members should work together and follow a common vision while managing technical debt. The researchers and the toll developers, the practitioners as well as the educators, should share the same vision and platform when they work together. While dealing with the challenge of process and tools, the initial step that should be taken is to take aggressive initiatives. It is to bring tech debt to visibility by tagging the issues, allocating proper resources to the backlog and release process, and also keeping some time in reserve so that the teams can retrospect on tech debt in the future.

Software Economics And Architecture

It is also essential to deal with the architecture and economics of the software as that will help to track the consequences of the trade-offs and find their impact on the business. Use of technical debt management software can use for such a developmental approach. While testing the product and its activities to make the quality attributes, use the architecture of the software concretely. If you want to learn more about code testing, then visit here. You should focus on the source code and its consequences on the behavior and the run time, trade-offs, and risks.

Empirical Data Science

When introducing small changes in developmental activities, you can enable data collection without an increase in overhead. This will help to establish an empirical basis for tech debt management. It will also help in the analysis of the data collected and find out the cause of tech debt and refactor it for better efficiency and productivity. You can use validated models for decision-making on an empirical basis. Educating all teams is also a major job and should be included in the day-to-day affair so that all are well aware of the cause and effect of tech debt so that easy course rework is permeated.

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