Balanced Scorecard to Control Programming Performance and Quality
When one considers the variable elements that effect the success of programming in doing justice to the design objectives then the need for measurable metrics to evaluate the progress comes into focus.
Quite expectedly a balanced score card can be used to holistically track the key factors.To start with the first set of metrics that need to be designed are for the 'Coding Evaluation Perspective' and these should ideally include Standards Compliance Index, Drop in the average number of Bugs identified, Number of Certifications held, Mean Time taken in de-bugging and Number of Tools used in the coding process.
Further, the Software Programming Process can be analyzed using indicators such as- Schedule Adherence index, Earnings per project, Number of areas covered and Average Data Collection Cycle duration.
Performance Perspective can be obtained using the KPIs like 'Time frame drop', 'Cost Budget Improvement', 'Learning Curve Benefits' and 'Increase in number of projects handled'.
Lastly, one can measure the output of software programming and coding process by employing indicators like 'Reliability Ratio', 'Usability Index', 'Robustness Ratio' and 'Portability Position'.
Why do business professionals choose ready-to-use KPIs?
Read Why do business professionals choose ready-to-use KPIs? to find out the answers to these questions:
- Can a business professional research KPIs on his own?
- How do I avoid typical problems with KPIs?
- Is ready-to-use KPI applicable in my niche?
- Is KPIs' price affordable?
- Can KPIs can be easily integrated in any business environment?
- How can KPIs make the difference to the business?
What are the benefits of Programming metric:
- Compliance with coding standards is one of the most important KPIs to be evaluated in programming.
- Time necessary for debugging will measure how well the initial code has been written.
- Financial measures include profit per project or cost budget improvement. Apart of that, usability index and users' feedback have to be assessed.
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More ideas on using Programming KPI
Constructing a program successfully demands paying attention to a lot of factors such as 'writing', 'testing', 'debugging' and 'arranging for the source code of program'.
This is a highly technical field that depends largely on the intellectual level of the team members. People involved in carrying out this task are expected to be fluent with application domain, algorithms and formal logic.
However, some other issues like 'optimum utilization of resources' is always standing in the way to hamper growth.
One can win over such and similar issues by adopting a 'quantitative' approach to tackle the subjects that come in the 'act of programming'. This is to say that by using Balanced Scorecard for collecting the metrics and indicators, one can easily count the steps and moves made. Further, the deviations in values can be used for getting 'informed' and 'correcting' deviations in timely manner. The 'measurable ingredients' of this scorecard are KPIs (Key Performance Indicators) or the metrics to which one can attach values and numbers. This enables one to manage the programming process accurately and closely.
Managers then pay regular visits to these tools for making sure that everything is 'well within control'.
More useful information for Software development Evaluation
Programming Evaluation Balanced Scorecard Screenshots
Metrics for Software development Evaluation
This is the actual scorecard with Programming Performance Indicators and performance indicators.
The performance indicators include: coding evaluation perspective, standards compliance index, drop in the average number of bugs identified, mean time taken in de-bugging, number of certifications held, number of tools used in the coding process, analyzing the software programming process perspective, schedule adherence index, earnings per project, average data collection cycle duration, number of areas covered, performance perspective, cost budget improvement, time frame drop, learning curve benefits, increase in number of projects handledâ€™, assessing output of software programming and coding process perspective, reliability ratio, usability index, portability position, robustness ratio.
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