
Project teams often make mistakes when it comes to the costs of developing software. It seems like this happens because of the little things that appear during the project’s development, but in fact, we could have discovered and taken them into account in advance.
The article contains simple and, at the same time, useful recommendations as well as a method for calculating software costs. This will come in handy to a project manager, architect, system analyst, IT solution sales manager, and everyone else involved in estimating software development cost of fixed format.
We will only focus on how to calculate software development cost, estimating the duration is a completely different story.
Estimate project costs
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Any scale of software development process requires a sufficient budget, which can easily inflate with hidden expenses and grow out of control if not planned and estimated in a timely manner. Software development costs are significant to allocate, since such workflows can be very dynamic and unpredictable.
If you are looking to lead a cost-efficient software project with a clear ROI as the outcome, you want to prevent the budget from being overrun by hidden and unnecessary expenses. The primary reason for unexpected development costs arising is poor and insufficiently accurate project cost estimation.
Efficient project management that drives truly successful cases relies on well-structured software development teams and insightfully distributed resources. A thorough, article-by-article, preliminary cost estimate is at the core of project team structuring, defining the size, skill depth, and productivity of the team.
Without clearly estimated software costs, it is nearly impossible to set realistic deadlines and development process milestones. In turn, the financial predictability achieved through timely and detailed cost estimates helps lead a project confidently and flexibly.
The ultimate effect of accurate software cost estimation comes down to a failsafe, future-proof software development project workflow that’s flexible enough to steer it in the right direction at the right moment. No need to rethink software development pricing models, refactor products, or renegotiate contract agreements mid-project.
Unpredictable projects are the riskiest. Unexpected, unaccounted-for bumps and challenges can make already complex projects, e.g., custom software development workflows, even more complicated, expensive, and ultimately prone to failure.
The vast majority of projects on the market are completed based on a fixed price cooperation (when the budget and terms are planned, at the stage of sealing the deal).
When evaluating a project, the team must, in addition to standard risks and problems, consider other relevant factors that ultimately impact software development costs.
Factors affecting software development costs
The breadth and depth of features, functionalities, and integrations play a central role. A project with extensive user roles, real-time data processing, or integration with legacy systems will typically incur higher costs than a simple application with basic features.
Complexity in design, architecture, and technology — such as advanced security, performance optimization, or high-end technologies like AI and blockchain — requires specialized expertise and careful testing, which drives costs.
The skills, experience, and even geographic location of your development team affect hourly rates and productivity. For instance, teams in high-cost regions may charge more, while leveraging experienced professionals can reduce time spent on rework.
Do you follow Agile, Waterfall, or hybrid methodologies? This defines your project timelines, communication overhead, and risk management options. Keep in mind that iterative development approaches may require additional upfront planning time, but can reduce costly changes later.
Costs for development environments, third-party services, deployment platforms, and post-launch support—including bug fixes and updates—should all be factored into the total cost of ownership.
As for some pro tips, here’s what can help you smooth out all of the above factors when conducting a software development cost analysis:
The development team should be ready at all arms to perform to the best of its ability. And it is the transparent software development cost estimation that helps prepare all the necessary conditions for such performance.
Learn more about the topic: Top 12 factors affecting software development costs
In the event of unsuccessful project management (if the team follows the client’s lead), the team easily misses deadlines and exceeds the budget, as the contract is signed and the budget is agreed upon; thus, they work at a loss.
The estimated software development cost is often determined without a sufficient analysis of project requirements; tasks are insufficiently and incorrectly scheduled, and very frequently, only programming is included in the estimate. At the same time, testing and management don’t receive proper attention.
When signing a contract, the sellers meet the client halfway by lowering the price, and the team, represented by the project manager, doesn’t defend its position firmly enough. At the same time, all participants are focused on the result — each participant sees/foresees the problem and informs the manager.
There is also another factor — the variety of projects, systems, and technologies, as well as the lack of qualified specialists. This means that when planning a project, architects or project managers may not consider the possibility of having a specialist on the team who has not previously performed such tasks or someone with insufficient qualifications. In this case, the performance is likely to be lower than expected.
First, examine the problems and attempt to find a solution.
Problem 1 — The client wants to know the exact figures for the project’s cost and deadline before signing the contract.
Solution:
Problem 2 — The client wants to see a detailed list of works so that when agreeing on the project cost, they can eliminate the most inappropriate items.
Solution: In the workflow plan, it is essential to highlight all tasks, not just the “visible” ones. For instance, there are user requirements for viewing specific data. The team identified what tasks needed to be completed and estimated the total amount of work at 56 hours, breaking them down as follows:
But as a matter of fact, these tasks have basic functionality — creating tables in the database, storing procedures or views for selection, building business objects, connecting them to the security module, connecting to the logging module, configuration, and so on.
What happens if the customer says, ‘No, it’s taking too long’? Let’s reduce and eliminate the grouping and sorting tasks (resulting in a 32-hour reduction). At the same time, the seller, who is discussing the work on the project, has nothing to say. On the other hand, the entire volume cannot be reached in 24 hours.
How to calculate software development costs in such a situation? I recommend highlighting the basic functionality. In this case, this “Fetch data from the database” task takes, say, 28 hours, and the other tasks take 4 hours.
This will allow the seller to behave more correctly. By removing unnecessary features, sufficient development time will still be available.
Problem 3 — A detailed analysis of the requirements, the composition of a technical task, and a clear area of work on the project occurs after the contract is signed.
Solution:
Problem 4 — Almost until the middle of the project, the customer does not know what they want (not to mention the stage of collecting requirements).
Solution:
Demonstrations should be carried out not only for business clients but also for employees of other customer departments potentially involved in the project (system administrators, target audience of users, security service, etc.)
This will enable the receipt of comments in the early stages, facilitate discussions on pressing problems, and allow customers to become accustomed to the user interface and software functionality.
Problem 5 — The client wants the team to be flexible about their wishes (changes, additions) and implement them within the project, and not within the framework of subsequent improvements. At the same time, the client absolutely doesn’t want to hear anything about the changes in the budget.
Solution:
Problem 6 — The client requires extensive documentation on the underlying framework.
Solution: We include the cost of creating documentation in the software development cost calculator.
Problem 7 — If the project team is formed anew, there is a risk that the qualifications of one or another specialist may be lower than expected.
Solution: When calculating how much it costs to have software developed, planning tasks, and time for their implementation, it is necessary to focus on specialists at a level lower than expected to be involved in the project
Problem 8 — IT technologies and tasks are becoming increasingly complex, making it more challenging to identify the pitfalls of selected technologies at the early stages.
Solution:
IT technologies and tasks are becoming more complex. Identifying the pitfalls of selected technologies is a challenging task. How to estimate software development costs, where to start? In short:
Apart from these brief pro tips, make sure to also explore some of the standard best cost estimation methods, like the following approaches to project-wide
In terms of a parametric approach to software cost analysis, you take historical data and run it through pre-planned mathematical models against a set of project parameters. In simpler words, you use existing software, data on its creation, and formulas or industry benchmarks to get a precise outlook of every article of expense.
For instance, parametric software cost estimation helps identify and segment the primary variables that drive costs, such as lines of custom code, hours per project task, and features.
Pros:
Cons:
Alternatively, this approach involves comparing analogous projects, i.e., those similar in structure or previous projects, to identify rough edges and stand-out expenses. Here, past project data is typically used to conduct an audit, inform expert judgment, and create rough estimates.
The outlined differences in project scope, structure, and technical complexity can help eliminate extras and adjust costs accordingly.
Pros:
Cons:
A bottom-up cost estimation process allows for breaking the project into smaller parts, conducting an accurate cost estimate for each, and summing them up for a final breakdown.
This method relies on a Work Breakdown structure (described below), which is a common task sub-division approach.
Pros:
Cons:
To correctly estimate software costs, follow these rules:
Don’t forget to consider the following tasks:
At DICEUS, we prefer employing well-tried and tested approaches — the Work (or Project) Breakdown Structure (WBS) for dividing projects into milestones and elements, and Critical Path Analysis (CPA) for sequencing tasks and activities.
The convenience and efficiency of these approaches lie in breaking the big picture of the project down into smaller parts and components. Thus, you can cover the entire project scope in detail, step by step, without missing any minor details.
A CPA plan is based on WBS, meaning that the known project scope (terms, team composition, budget, etc.) must first be broken down into tasks, each with the respective number of hours required for completion. Everything should stay sorted.
There are many ways to estimate software development cost metrics, but the main trick is to keep things gradual and segmented. Here’s what you can do.
Use a Work Breakdown
First, a Work Breakdown Structure helps put everything into shape:
Continue with Critical Path Analysis
Critical Path Analysis should take place based on the sorted tasks. Essentially, you need to review each task and its associated work hours and identify the most vital sequence (the longest path of completion).
Based on that, you can make adjustments — prioritize some tasks over others, move some activities ahead of others, and identify where possible downtime would cause the least harm.
With such planning in hand, you’ll easily calculate the most realistic deadlines and project frames, including the earliest and latest dates, optimal start and finish dates, healthy downtime, and deadlines.
Here’s how we approach in-house development team’s performance. Suppose we need to create a new software feature that requires two specialists — software developers and QA experts — to handle full-on frontend-backend development of an asset. Each specialist has underlying stages to complete, including development, testing, deployment, and review
We take our two specialists, assign the basic tasks to them, and define how many hours each would take to complete:
| Developer tasks | Hours | QA Expert tasks | Hours |
| Tech task breakdown | 0,5 hrs | Specification review | 1 hrs |
| Frontend | 12 hrs | Test cases preparation | 1 hrs |
| Backend | 6 hrs | Test cases execution | 6 hrs |
| Unit & integration testing | 2 hrs | – | |
| Code review | 0,5 hrs | – | |
| Code deployment | 1 hrs | – | |
| Total | 22,5 hrs | Total | 8 hrs |
All in all, we can see that the whole scope of work involving these two specialists would take approximately 30,5 hours. Always count the longest outcome possible to have backup hours for unexpected situations. With this number of hours in hand, you can now easily calculate the cost of implementing an asset based on the rates you offer.
If you need to analyze a more complex and multifaceted process with many tasks to be implemented, use the same scheme for each separate feature and activity.
The cost of software development is paramount to plan through, estimate, and double-check at the earliest stages of the project. The consequences of failing to do so may be just too complicated to handle, and, in any case, the budget shapes the capacity of the development workflow you launch.
Do you have a software product vision in mind that calls for a cost-efficient software solution development workflow?
Seasoned specialists at DICEUS consult and guide project planning, implement technical parts of any complexity, optimize and integrate existing software, and offer more custom software services.
Several interrelated factors shape Software development costs. The project’s scope, including the number of features and integrations, directly affects the workload.
Technical complexity, such as multi-staged security, real-time data processing, or custom algorithms, requires specialized skills. Team composition and expertise also play a crucial role, as experienced developers (and their location) can significantly impact productivity and hourly rates. Additionally, the choice of technology stack, including the need to support legacy systems versus adopting newer frameworks, can affect both initial development and future maintenance.
There are many methods and approaches, ranging from breaking things down detail by detail to using benchmarks and audits, to comparing budgets with similar projects.To take things further, you can combine the above-discussed estimation methods — such as bottom-up estimation for detailed task costs, analogous estimation by comparing similar past projects, and analysis of metrics — to generate a well-rounded estimate. Just make sure to delegate this task to an experienced development team.
There are several widely used methods for estimating costs. Parametric models rely on historical data and mathematical formulas to predict effort based on measurable inputs such as lines of code or function points.
Analogous estimation is employed to compare your project with similar projects from the past and adjust for differences in scope and complexity. Bottom-up estimation requires you to calculate the cost of each task and then aggregate these to form an overall estimate.
Often, a hybrid approach combining these methods is used to strike a balance between accuracy and practical constraints.
In general, complex software may require more technical expertise and time from specialists in the long run. A larger project typically entails more code, additional components, and increased coordination, which necessitates a higher overall effort and expense.
Complexity adds another layer: even a moderately sized project can become expensive if it involves intricate business logic, advanced algorithms, or multiple integrations. Higher complexity demands more sophisticated design and extensive testing, which in turn increases development time and resource requirements.
Managing costs effectively begins with a clear and prioritized definition of project requirements, which helps avoid unnecessary features and scope creep. Agile methodologies for iterative development enable the gathering of early feedback, dynamic improvement, and quick adjustments.
Leveraging reusable components, open-source libraries, and proven frameworks helps reduce development time, ensure consistent workflows, and lower software development costs.
Additionally, regular monitoring using project management tools helps track progress and adjust resource allocation as needed. At the same time, strategic staffing (including potential outsourcing) can optimize cost without sacrificing quality.