Best KPI’s for Developers
A good developer should be competent enough to enhance their performance and overall effectiveness. Assessing the performance developers or even a team of developers can be on KPI’s (Key Performance Indicators). However, you can utilize different software development KPIs evaluate the value of development tasks, and establish a just and impartial assessment.
In this article, we shall seek to understand; challenges entrepreneurs experience in a bid to get the appropriate performance indicators, as well as establish the best key performance indicators you can bank on for successful evaluation. We shall also delve in the benefits of best software coding implementation methods.
Rating performance of any contract or task is vital for various reasons. As an entrepreneur, you want to understand the best way to rate the performance of software development which is today becoming a popular activity among developers. Many entrepreneurs in the market are struggling to assess software development especially those who work with offshore developers.
Offshoring is today becoming a popular practice among potential clients. While there are many reasons for this, cost-effectiveness, commitment among the team of developers and technical expertise are some of the most critical factors. Still, there are numerous challenges that come with offshoring and assessing productivity is one of the most popular challenges.
Today, entrepreneurs cannot wade away the fact that technology is evolving fast and there is a need to adopt advanced strategies to evaluate their developers. KPIs are fast becoming a popular method of assessing software development.
Just like a big percentage of the activities affiliated to software development, evaluating performance is a complex indirect task. Key performance indicators, therefore, may not be ultimately effective for an individual software developer and trust is among the most critical factors to get your project going. However, this too may not be effective.
Challenges in identifying the Correct Performance Indicators
One of the main challenges is; while you can pinpoint the existing performance problems as well as the risky and problematic performance indicators, chances are they are not directly connected with the developer or software team. This simply means that the developer or team of developers may not be responsible for the problematic performance indicator.
For instance, experts in the industry suggest that the problem could be as a result of faults in the requirement gathering phase. Performance challenges will definitely occur in every project phase when there are problems in the requirements communication phase.
Determining the qualifications of potential developers in relation to the development task can be an arduous task. A reliable software developer or team of developers must possess sufficient technical prowess, practical experience, functional knowledge, and domain expertise to execute tasks effectively. While this can be the case in one area of the project, it may not work out according to expectations in other domains of your project. Eventually, this becomes an uncertain situation that you should evaluate thoroughly.
The sequence of procedures due to review in a bid to evaluate the performance indicators may not be compatible with all teams or individual developers in general. For instance, an entrepreneur may be able to assess the coding stage for observation of best coding implementation for a specific developer.
In this case, the ultimate coding implementation may differ perhaps because the developer was following a varying coding implementation method. It’s also worth noting that best coding implementation methods are not ultimately standard across the industry. Below are the
Benefits of best software coding implementation methods
Having standard implementation methods for software coding in a huge investment which shouldn’t be viewed as an expense. Further, best coding implementation strategies can be both a comparative and relative term which many people in the industry use loosely. What are the ultimate benefits of the best software coding practices? Here are some of the pros from an expert’s point of view.
They aid the Delivery of Excellent Quality
Upholding the best software coding practices guarantees that the end product is of excellent quality. This is one of the major benefits and an excellent quality end product enables entrepreneurs to set high standards for themselves in a bid to maintain happy clients.
Adopting the best software coding implementation strategies accelerates the entire development process. Perhaps you think this can only be effective during the configuration and practicing of good coding standards. However, after the standards have been well configured among the developers, the entire process becomes more organized and fast.
At some point, entrepreneurial entities will want to replace their old software with new and more advanced software which is easier to operate and more dependable. This goes a long way in producing high-quality coding with more defined standards for proper documentation. This way, the business can handle conversions better.
Sustaining the Reputation of the Developer
Development of excellent quality software establishes, enhances, and sustains the reputation of the developer or team of developers. This helps them stay ahead of their competitors, increases their clients, and guarantees satisfaction.
Understanding the Key Performance Indicators for Developers
The following KPIs can come in handy when it comes to evaluating developers for your specific project.
Calculating Work in Progress
Velocity calculates the magnitude of work finalized in a specific phase. It’s worth noting that velocity is not a comparison or prediction tool but it gives developers an idea of the magnitude of work they can complete in the next phase. Velocity index is different for each team and should be configured to evaluate their dedication to the project.
For example, in cases where the project backlog has approximately 200 story points and the team finalizes 10 story points on average per phase, this means that the team will need almost 20 phases to finish the entire project. If a development team is embarking on a new project or has recently adopted the agile method, the velocity evaluation for the first few phases can be unpredictable.
However, the more teams work on the project, the velocity will climax to a point of performance and predictable flow expectancy. A decline inconsistent flow can be an indication of challenges in the development project showcasing the need for modifications.
How to Use velocity
· Counter Inconsistency Before it Escalates
If consistency remains inconsistent for a prolonged period, you may want to evaluate both internal and external factors averting a transparent estimation.
· Change the Velocity Monitoring Once the Tasks or Team Changes
If a member of the development team leaves, the project changes, or more members join the team, you will need to renew the velocity calculation altogether.
· Predict Performance with Only Three Sprints
Once you have mastered velocity, you can comfortably predict subsequent performance with the inaugural three phases.
Calculating Code Quality
Code coverage is the number of blocks or lines of code executed when automated tests are flowing. Code coverage is a vital metric for the TDD (test driven development) implementation and sustained delivery. This metric is usually translated using a simple viewpoint that is: the stronger the code coverage, the better.
To calculate this, you’ll require any of the available tools in the market. All of them operate in a similar manner and as you carry out the tests, the tool will recognize the lines of code that are called partly once.
How to Utilize Code Coverage
· Target the Uncovered Lines but avoid Overrating the Covered Lines
Even when the line of code is called either once or more times, it’s not an indication that the attribute it supports functions appropriately and users will be contented. While lines of code is a good metric when it comes to measuring a developer’s speed, the fact that a developer can write many lines of code per day doesn’t make them competent.
Calling lines of code is not always enough to complete the testing task. On the flip side, the percentage of uncovered lines indicates what has not been covered and may call for testing.
· Set up Covered Code but Don’t Expect 100%
While this may seem unreasonable, achieving a 100% coverage doesn’t indicate you have tested the code appropriately. Your project features the code that’s necessary and the remaining code base. Since evaluating automation can be a costly affair, it needs to program the characteristics and comparable pieces of code.
Test Automation Against Manual Testing
This calculation describes the number of lines of code in a component which is already covered using automated tests and compares them with those that are manually tested. It’s similar to the code coverage metric even though it has a definitive use case. Test distribution against manual testing is only used when you want automation to cover relapse.
Relapse testing is done to assess whether something broke down after the component updates. In cases where your product goes through frequent improvements, you should ensure that relapse testing is automated.
If it’s not, then your manual quality assurance expert will need to repeat the test scenarios once every update is finalized. Defining the automated test coverage for every feature allows you to set up the: components that require automated tests, components that may be affected by relapse following updates.
KPIs help you understand your team’s performance and general satisfaction towards the project. However, you shouldn’t be hell bent on them. Seeing that there is no standardization for agile KPIs, you should desist from comparing the progress of different teams. Instead, appreciate feedback from your team, create an atmosphere where you and your team can share your goals and support one another, and hold discussions regularly to enhance the success of the entire team.