Why is my team delivering software at a snail’s pace? Why do I always lag behind schedule with my project?
These are common questions in the software development world. Today, businesses need more custom solutions to stay competitive.
Once you have a good enough idea, you can think about making it a reality. But things don’t happen instantaneously.
Software development isn’t just a few lines of code. It involves many less glamorous but critical tasks. These are test planning, code reviews, and more.
That’s why, giving precise software estimates is tough. But there are ways to figure it out. Let’s go over everything involved in this process.
A software estimation is the time to begin and finish all development tasks. Teams assess various parameters to arrive at it. The major ones are:
A custom software development timeline shows the plan and time for tasks. It breaks down the entire process into small parts. A timeline guides the team to adjust to any project changes. It ensures that your team delivers the software within the set timeframe. This timeline works for software of all sizes, whether big or small. Below are the various parts of this timeline.
Product discovery is the very first step. It verifies your idea. You can then brainstorm on how to implement it. In this stage, you discuss the scope of your solution. It means the problem that your product will solve. You also research your target market. This helps you find out the exact requirements of your project.
A product discovery stage lets you determine:
In this phase, you design the software. This task consists of various activities. These are:
The software design process takes place in two parts. These are:
This time increases or reduces based on the complexity of your product.
This part breathes life into your idea. Now, software developers take the reins from designers. They convert the design into a functioning product. This phase is longer because it materializes your software vision. This phase has two parts, both of which demand equal time. These include your product’s front end and back end. To reduce the time, you can develop both the front and backend together.
Testing is critical for a successful launch. The time taken by this stage can stretch based on how many issues are present in the software. Remember, if there’s a major issue, it can halt your project’s progress. Teams may need to go back to the development stage. This can stretch your timeline.
A great way to prevent this is to incorporate QA from the moment development begins. It will ensure that you detect bugs early. You can then take the right measures to fix it. The sooner you detect an issue, the cheaper it is to eliminate it. Another best practice is to use automated testing tools. Tools like Selenium and Cypress constantly test the software. They ensure that you continue development without harming quality.
There are various types of project timelines. Choosing the right one is key to successful completion. Below is a quick overview of these different timelines.
A Gantt chart is a timeline tool that gives a visual overview of tasks. It shows all the activities you’ve planned. You can see when various project stages begin and end. Thus, it helps you manage time efficiently. You can also spot potential issues in your project.
Gantt charts are ideal for projects that require a clear, linear timeline. If you can easily visualize tasks and dependencies in your project, a Gantt chart will be a good timeline choice. Some examples where they are effective are:
It’s a version of Gantt chart project management. It shows tasks along a vertical line. If you have a small project or need a concise task list, a vertical chart timeline can help.
If you have a data-centric project for finance or marketing, use this timeline. It can illustrate project progress over a defined timeframe.
A historical timeline outlines key events linearly. It is quite helpful in complex projects. A historical timeline simplifies the visualization of project stages.
This timeline showcases project tasks in order. The following projects can benefit from it:
Kanban timelines focus on the progress of tasks from being in progress to being completed. If you follow an Agile approach, this timeline will suit you.
This timeline is especially suitable for projects with continuous work. Below are some projects that can benefit from it.
Must Read: Agile vs. Scrum vs. Kanban: Which Methodology is Best for Your Software Project
This approach spots the sequence of interdependent tasks. These tasks impact a project’s timeline. CPM is suitable for complex projects that require strict time tracking and planning.
Projects with tight deadlines benefit from CPM. Here are some examples of projects that can use this approach.
PERT focuses on the time taken by each task. If you are working on a project where software estimation is tough, PERT can help. It factors in uncertainty in providing an accurate timeline.
Big, complex, one-time projects are ideal for PERT. Here are some use cases of this technique.
Let’s understand the project timeline better with the help of an example.
Real Estate Management System
The project seeks to develop a real estate management software. The client is a property management firm. The software should be able to handle property listings and tenant data. It should manage lease agreements and financial transfers. The timeline estimate is six months.
– Collect requirements from the stakeholders.
– Do a deep market research. This helps you assess current similar software.
– Create a project plan. It should be clear with checkpoints and deliverables.
– Design the UI and database structure.
– Develop the basic features. These can be property listing management, tenant data, etc.
– Create a simple interface for easy navigation.
– Integrate a secure payment gateway.
– Test regularly
– Coordinate with the client for feedback. On its basis, make the changes.
– Conduct thorough testing. This helps spot and fix any bugs.
– Do stress testing. It will clarify if the system can handle a greater volume of data and users.
– Test the compatibility of the software with various devices.
– Conduct user acceptance testing. This is critical for feedback.
– Prime the system for deployment on the server of your client.
– Give the end users training to use the system.
– Address issues raised during training.
– Offer ongoing maintenance and support for the system.
– Fix any user queries that occur after the launch.
– Regularly review the system’s performance. Also, monitor its security.
A study by HBR found that one in six software projects overspent by over 200%. They were also late by 70%. A McKinsey study found that IT projects have cost overruns by 45%. They are 7% over schedule. The situation is worse for large projects. Those with budgets over $15M overspend by 66% on average. They have schedule overruns by 33%.
All of this begs a question.
Why are software estimates so painfully hard?
Suppose you know the rules of chess. There’s a chessboard in front of you. A game is underway. You are told that white can mate in three moves. How much time will you need to uncover what those three moves are? After all, you know the rules and how the pieces move. You also know what the board looks like right now. You have everything you need to make an accurate guess. But you still can’t estimate it. Software development is no different.
Below are various reasons why giving an exact timeline is hard. We’ll also tell you how to tackle them.
Teams usually talk about the time way earlier. Timeline discussion should only happen after defining the project scope. You need to grasp the project’s complexity first. So, instead of jumping to an estimate, break down the project into modules. Define assumptions. In other words, have structural clarity.
Clients regard an early software estimate as final. This isn’t the right way to go. Early timeline forecasts are based on minimal data. You must represent every estimate in a range. For example, instead of 4 months, say 4-8 months. This will factor in the risks and uncertainties that may arise.
Estimation becomes hard if you don’t have past data. It is likely that you can give wrong estimates to your client. To prevent this, build a knowledge base of reference estimates. On their basis, you can make better predictions. It also lowers uncertainty to a great extent.
Speeding up delivery comes at the cost of losing quality. Here’s the truth. If you really want your software in a short time, do less. It means making it a lesser version of what you envisioned. The only other way you can expedite delivery is by spending more.
Improving a legacy system is much harder than new builds. These are tougher to estimate. There are structural constraints to these systems. You need more effort to integrate a new feature into them. The best way to go about it? Use a mix of reasoning based on analogy and past data. Do not estimate them based on new builds.
Any effective software estimation technique has two characteristics. It captures both time and uncertainty.
– Jacob Kaplan-Moss, software developer, co-creator of Django
The best estimate factors in uncertainty. Planning based on this core element helps you give the most accurate estimate. Below is an effective approach to give a realistic estimate.
Before anything, you must define the project scope. Sit with your client and discuss everything. This includes their business goals and technical needs. Talk about potential obstacles and risks. Don’t hold back asking anything that might give unpleasant surprises later.
Break down the project into small chunks. For example, features, processes, and integrations. You must be fully aware of the idea and its intended aim.
Now you know the high-level needs of the project. Turn them into actionable steps. It means breaking down the project into work units. Through this, you can assess how much effort you will need. It will also help you spot technical dependencies earlier.
This part helps you do three things, which are critical for estimation. These are:
You cannot give accurate software estimates without any past record. It’s always good to build a hub of past project data. This helps you make informed decisions. You’ll have an idea of the issues you can face and how to fix them. By going over this record, you can set benchmarks for new estimates against real-world projects. Having a repository of such data greatly reduces uncertainty.
In life, nothing goes exactly as planned. Software development is no different. No matter how much you plan, hurdles will arise. Your priorities can change, leading to delays. So, it’s crucial to include risk buffers in your estimate. A buffer of 10-20% based on your project’s complexity and uncertainty can help. Always plan for the unpredictable. This will keep you agile and your project on track.
A software estimation is always a team effort. An accurate one can happen only when everyone is involved. This includes developers, project managers, and the client. It helps ensure that technical feasibility and delivery capacity are taken into account. Bringing together everyone allows you to give an estimate that is more aligned with how you will carry out the project in reality.
Useful: Offshore Software Development Services
The key to improving the accuracy of a software estimate in the long term is by tracking KPIs. They help you quantify how your project is performing. KPIs also enable you to gauge the project’s progress. Below are some critical ones.
An accurate software estimate is a result of assessing many factors. By remembering every factor in this post, you can be more precise in your estimate. Team and client collaboration is a pillar to align your project with the expectations. As a side practice, keep yourself updated with the latest tech advances. Most of all, appreciate the process as each project makes you learn various lessons.
On average, software design takes 8 – 12 weeks. In this time, 2-3 weeks are spent designing the user experience. The remaining 3-4 weeks are for user interface design.
The time depends on the product’s complexity. If it’s a simple product, the time can range from 1-8 weeks. This is the time for engineering. It is also spent on designing manufacturing files. Then, prototyping occurs from 2-4 weeks.
Software implementation time varies from a few weeks to many months. Various factors are behind this. These consist of the IT project’s scope and complexity. It also depends on the organization’s preparedness. Teams can implement small software in 1-4 weeks. Big systems can take 6 months or more.
The cost can range from $40,000 to $400,000 or more. The final amount depends on various factors. The major ones are the project’s complexity and the tech stack needed. Other factors consist of the needed feature set and domain-specific requirements.
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