Performance Modelling

Performance Modeling

Performance modelling: It is a discipline that starts with the requirements of software projects, continues with analysis, design and coding, and continues throughout the life cycle of software development. In order to make this modelling, a structural and repeatable approach is required.

For the model to be successful

  • Set your goals
  • Measure and scale

What are the Objectives of Performance Modelling?

  • Increasing reliability by taking part in your software processes as a quality component,
  • Determining your metrics and test work,
  • Managing your performance risks,
  • Determining and allocating your budget,
  • Analyse and identify your key performance scenarios,
  • Making requirements overlap with performance components,
  • Balancing performance for your other quality service requirements
  • Evaluate whether your model overlaps with performance components,
  • Implement your performance action plans immediately.

The basis of performance problems often begins to occur in the design part of the project. With the customer requirements received, the requested features are analysed without performance concerns and the design is carried out. The project, which has been coded after design, will be tested with various performance tests after reaching a certain maturity. For example, you are about to complete an electronic shopping site. Your customer is preparing to take his place in the market after a strong investment and a successful advertising campaign. In the stress test that caried out a short time before the project delivery date, when it turns out that your site will serve only 100 people at the same time, it will now be too late to improve the software or patch the software or make radical changes to the system infrastructure. With a last effort, at best, it will be inefficient and often very expensive.

If you are implementing software codding processes such as CMMI or at least want to discipline your projects by taking it as a model; By creating a performance model, you need to create your application scenarios and performance components.

What are the performance components?

How long your software works, how much it works, how much CPU, memory, Disk I/O and network I/O consume, these are the measurable criteria of performance components. Apart from these main components, there will be different components unique to your company or project. Our consulting creates your performance modelling that suits your structure and determines your performance components. Performance components can be too much and combustible. These need to be well sorted, assigned, measured and identified in performance scenarios.

Benefits of performance modelling

  • PM software has a quality compound in your life cycle.
  • Identification of possible problems in the initial stages of the project.
  • You can clearly see your constraints during design or see how the design decisions you make will affect performance. If you don't have a PM, you can see most of your resources doing project maintenance instead of implementing your long-term goals.
  • When your project comes to life, you won't encounter performance surprises.
  • Thanks to your detailed scenarios, you can set your priorities immediately. This clearly shows you what to test for, your measured distance from your goal, and whether you overlap with your performance goals.

But this should never be forgotten; your designed PM is not an alternative method for creating the first sampling to pass your scenario-based load test or design. In other words, it is always necessary to decide what to test by showing your costs in a clear manner, understandable with your initial sampling and plans.

Why performance modelling?

You can make more informed decisions by knowing the constraints and threshold values of the resources your project interacts with.

  • What you don't know about performance modelling,
  • Which method will have a positive effect on performance during coding,
  • Where to use resources to reflect the most positive impact on performance,
  • Which class, which method is called the most, is processed and whether there will be an improvement over the time they spent,
  • In establishing the main steps and rules of access to restricted resources,
  • Project performance impact of resources accessed by local or remote connection,
  • Whether positive results were obtained from the performance after the studies,
  • Which software components your interactions with your other software components and resources,
  • Where are your synchronous and asynchronous calls,
  • It shows the limits of your possible and acceptable CPU and Disk/Network I/O transactions.

Result:

The methods applied by each company are of course different. And each project has its own needs. Project requirements should be taken into consideration when creating performance modelling and work should be started by determining performance components.

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