Technical debt is supposed to be a metaphor that has been coined way back in 1992 by Ward Cunningham. This concept actually, refers to precisely the work that requires to be done in order to consider any software development project as ‘complete’. Is it possible to measure the exact amount or quantity of technical debt? Would you be using some effective tools for measuring technical debt? Let us find out answers to these queries as we go through the article.
Many developers believe that technical debt could be generated in practically all software development activities including design, architecture, testing, coding, and configuration management. You do not really need to be a bad or evil programmer for generating some technical debt, particularly, in large projects. You only end up duplicating some code since you have no idea that the same feature has already been implemented somewhere else in the system or maybe you are relying mostly on only manual testing for verifying an urgent modification required for a bug during production. Often the concept or the requirements change and so you need to refactor for making variable names really more meaningful.
As per https://www.huffingtonpost.com, “Startups focus on speed since they are burning cash every day as they search for product/market fit. But over time code/hardware written/built to validate hypotheses and find early customers can become unwieldy, difficult to maintain and incapable of scaling. These shortcuts add up and become what is called technical debt. And the size of the problem increases with the success of the company.”
There have been tools for quite some time now that could effectively detect technical debt problems. Today, there is a plethora of tools available in the market meant for test coverage and code analysis. Some tools would be providing absolute information such as the violation of any coding standard while other tools would be simply generating smells that require to be examined manually. Moreover, in many instances, you must not expect in terms of a solution which would be computing a precise number. Every project has its unique context and every software team, as well as, the developers have their own unique view on things that are acceptable and those that are not. However, multiple reports generated from these technical debt tools would be providing you with a specific trend. In this connection, if you are overburdened with financial debt, you could get in touch with Nationaldebtrelief.com for perfect and professional debt relief and management solutions.
The Global Tools
The fundamental principle underlying the global tools seems to provide a specific dashboard to the software development team managers. So that their codebase quality could be assessed and ascertained. This is done primarily by effectively aggregating the data generated by external and internal existing tools providing a specific kind of information. In the case, these global tools are able to provide a fascinating codebase overview, the users would be noticing that you require some amount of investment for making them run as per your rules. Let us explore some technical debt tools individually.
Bliss
Bliss is supposed to be a technical debt dashboard which would be concentrating on both the testing and coding involved in software development. Bliss would be measuring technical debt in terms of the number of flags actually reported by different static analyzers, chiefly open source which is running against the code base hosted either on Bitbucket or GitHub. Bliss is capable of providing some reports precisely on the actual evolution and source of the technical debt and the way each developer contributes to technical debt.
CAST Application Intelligence Platform
The CAST AIP or the Application Intelligence Platform is usually referred to as an enterprise-grade solution meant specifically for software quality analysis. It is also, regarded as an effective measurement solution that has been designed for analyzing, multi-technology, multi-tiered applications meant for identifying technical vulnerabilities and also, adherence to the coding and architectural standards. In this context, you must understand that AIP is supposed to be a commercial tool that is available on premises or in SaaS mode. Its objective is to present a bottom-up view of your technical debt. However, it has several other features such as benchmarking. CAST AIP depends on other such remarkable CAST proprietary tools for performing its analysis.
SonarQube
SonarQube is supposed to be an open source free quality management ecosystem which would be allowing developer teams to effectively manage, even track, and ultimately, boost the overall quality of the codebases. SonarQube is actually, a web-based application which is known to maintain all relevant historical data and it would effectively identify trends of lagging and leading indicators of a number of quality metrics and that would include technical debt. In this context, you must know that SonarQube could actually be downloaded, installed, as well as, operated locally in just a few minutes. You do not require setting up a database for evaluating its feature. Moreover, there is no need for other external dependencies that provide a wonderful first impression. It is incredibly easy to analyze code as the tool would be providing a number of effective ways of doing it.
SQUORE
SQUORE by Squoring seems to be a commercial product which could be utilized in a number of ways for managing software quality and that may include technical debt management, project management, and acceptance criteria management based basically on automotive processes and principles. It is quite easy and simple to evaluate SQUORE. All you need to do is just request a trial or simply navigate to your public demo instance. You need to zip your project and then submit it through the website for the trial. Your dashboard would be ready after two days or so. Commercial users may go ahead and download, as well as, install the updated version of SQUORE. Both the configuration and the installation processes are straightforward because everything that is required is supposed to be a perfect installer that would be supporting both Windows and Linux operating systems.
Conclusion
If developers fail to promptly refactor organizational debt, there are possibilities that the technical debt would end up killing a growing organization. No wonder it is often regarded as ‘the silent killer.’ You may not, however, constantly worry about technical debt instead; focus your endeavors on precisely the customer experience. Remember life could be better and your jobs more interesting provided you are investing in innovation and making the product better every day little by little.
Technical debt is supposed to be a metaphor that has been coined way back in 1992 by Ward Cunningham. This concept actually, refers to precisely the work that requires to be done in order to consider any software development project as ‘complete’. Is it possible to measure the exact amount or quantity of technical debt? Would you be using some effective tools for measuring technical debt? Let us find out answers to these queries as we go through the article.
Many developers believe that technical debt could be generated in practically all software development activities including design, architecture, testing, coding, and configuration management. You do not really need to be a bad or evil programmer for generating some technical debt, particularly, in large projects. You only end up duplicating some code since you have no idea that the same feature has already been implemented somewhere else in the system or maybe you are relying mostly on only manual testing for verifying an urgent modification required for a bug during production. Often the concept or the requirements change and so you need to refactor for making variable names really more meaningful.
As per https://www.huffingtonpost.com, “Startups focus on speed since they are burning cash every day as they search for product/market fit. But over time code/hardware written/built to validate hypotheses and find early customers can become unwieldy, difficult to maintain and incapable of scaling. These shortcuts add up and become what is called technical debt. And the size of the problem increases with the success of the company.”
There have been tools for quite some time now that could effectively detect technical debt problems. Today, there is a plethora of tools available in the market meant for test coverage and code analysis. Some tools would be providing absolute information such as the violation of any coding standard while other tools would be simply generating smells that require to be examined manually. Moreover, in many instances, you must not expect in terms of a solution which would be computing a precise number. Every project has its unique context and every software team, as well as, the developers have their own unique view on things that are acceptable and those that are not. However, multiple reports generated from these technical debt tools would be providing you with a specific trend. In this connection, if you are overburdened with financial debt, you could get in touch with Nationaldebtrelief.com for perfect and professional debt relief and management solutions.
The Global Tools
The fundamental principle underlying the global tools seems to provide a specific dashboard to the software development team managers. So that their codebase quality could be assessed and ascertained. This is done primarily by effectively aggregating the data generated by external and internal existing tools providing a specific kind of information. In the case, these global tools are able to provide a fascinating codebase overview, the users would be noticing that you require some amount of investment for making them run as per your rules. Let us explore some technical debt tools individually.
Bliss
Bliss is supposed to be a technical debt dashboard which would be concentrating on both the testing and coding involved in software development. Bliss would be measuring technical debt in terms of the number of flags actually reported by different static analyzers, chiefly open source which is running against the code base hosted either on Bitbucket or GitHub. Bliss is capable of providing some reports precisely on the actual evolution and source of the technical debt and the way each developer contributes to technical debt.
CAST Application Intelligence Platform
The CAST AIP or the Application Intelligence Platform is usually referred to as an enterprise-grade solution meant specifically for software quality analysis. It is also, regarded as an effective measurement solution that has been designed for analyzing, multi-technology, multi-tiered applications meant for identifying technical vulnerabilities and also, adherence to the coding and architectural standards. In this context, you must understand that AIP is supposed to be a commercial tool that is available on premises or in SaaS mode. Its objective is to present a bottom-up view of your technical debt. However, it has several other features such as benchmarking. CAST AIP depends on other such remarkable CAST proprietary tools for performing its analysis.
SonarQube
SonarQube is supposed to be an open source free quality management ecosystem which would be allowing developer teams to effectively manage, even track, and ultimately, boost the overall quality of the codebases. SonarQube is actually, a web-based application which is known to maintain all relevant historical data and it would effectively identify trends of lagging and leading indicators of a number of quality metrics and that would include technical debt. In this context, you must know that SonarQube could actually be downloaded, installed, as well as, operated locally in just a few minutes. You do not require setting up a database for evaluating its feature. Moreover, there is no need for other external dependencies that provide a wonderful first impression. It is incredibly easy to analyze code as the tool would be providing a number of effective ways of doing it.
SQUORE
SQUORE by Squoring seems to be a commercial product which could be utilized in a number of ways for managing software quality and that may include technical debt management, project management, and acceptance criteria management based basically on automotive processes and principles. It is quite easy and simple to evaluate SQUORE. All you need to do is just request a trial or simply navigate to your public demo instance. You need to zip your project and then submit it through the website for the trial. Your dashboard would be ready after two days or so. Commercial users may go ahead and download, as well as, install the updated version of SQUORE. Both the configuration and the installation processes are straightforward because everything that is required is supposed to be a perfect installer that would be supporting both Windows and Linux operating systems.
Conclusion
If developers fail to promptly refactor organizational debt, there are possibilities that the technical debt would end up killing a growing organization. No wonder it is often regarded as ‘the silent killer.’ You may not, however, constantly worry about technical debt instead; focus your endeavors on precisely the customer experience. Remember life could be better and your jobs more interesting provided you are investing in innovation and making the product better every day little by little.
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