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Software Development Automation

Automate Your Way to Successful Software Delivery

With over 35 years of experience in delivering custom software, ScienceSoft offers a comprehensive guide to automating software development.

Software Development Automation Guide - ScienceSoft
Software Development Automation Guide - ScienceSoft

Software Development Automation: The Essence

Automation in software development is a way to minimize errors during the software development process, make it faster and more cost-efficient, and improve team collaboration and productivity.

Automation tools and techniques can be used at almost every step of the SDLC: requirements gathering, design, coding, testing, deployment and maintenance.

Most Common Development Automation Challenges and Their Solutions

Lack of scalability

As software development projects grow in size and complexity, it can become difficult to scale automation efforts to meet the project's demands. To address this challenge, it's important to invest in scalable automation frameworks and tools that can handle larger and more complex projects.

Security concerns

Automation can introduce new security risks, particularly if sensitive data or systems are involved. To mitigate security concerns, development teams should establish clear security protocols and follow best practices for automation. This can include limiting access to sensitive data, implementing encryption and authentication measures, and conducting regular security audits.

High costs

Automation can be expensive to implement and maintain, particularly for smaller organizations with limited resources. To address cost concerns, we at ScienceSoft often start with an automation feasibility study. Also, it's good to explore open-source automation tools and frameworks, which may be more cost-effective than proprietary solutions, start small and gradually build up automation infrastructure.

Software Development Automation: Success Stories by ScienceSoft

Customer Portal Built with Power Apps for Saudia Cargo

Customer Portal Built with Power Apps for Saudia Cargo

ScienceSoft implemented a Dynamics 365 customer portal integrated with a sales module for Saudia Cargo, Asia’s leading cargo airline. ScienceSoft ensured a secure environment for all business-client communication, transactions and document flow, and gave the company’s clients faster and controllable way to apply for cargo transportation services.

CI/CD Implementation for a Smart Retail Digital Signage Solution

CI/CD Implementation for a Smart Retail Digital Signage Solution

ScienceSoft implemented CI/CD pipelines compatible with multiple clouds to automate the development cycle of a content management system for a digital signage product of a North American startup. With CI/CD pipelines set up, ScienceSoft’s team ensured a seamless introduction of frequent code changes (up to 100 commits a day).

Automated Testing for vCIO Solution of a US Leading Training Services Provider

Automated Testing for vCIO Solution of a US Leading Training Services Provider

  • Automated functional regression, integration and cross-browser testing.
  • Integrating continuous testing into continuous integration (CI) pipeline to run tests automatically every time a new change was introduced.
  • Optimizing long end-to-end UI tests.
Image Processing Software Continuous Integration

Image Processing Software Continuous Integration

ScienceSoft’s team built a continuous integration pipeline to automatically run unit tests (570 tests to check units’ logic) and acceptance tests (470 user scenarios operating at a higher level than unit tests). Running tests in parallel helped reduce the test time from 4-5 to 1.5-2 hours.

Test Automation for Two Web Portals and a Mobile App

For more than two years, ScienceSoft has been creating and maintaining automated smoke and regression tests for a custom client portal, a Salesforce-based service portal, and iOS and Android versions of a mobile app.

Cost-Benefit Analysis of Software Development Automation

Below, we highlight the impact and cost components of the most popular SDLC automation practices.

Benefits Cost components and cost factors

Low-code development

  • Faster development.
  • Significantly reduced development costs.
  • User-friendly (can be used by non-technical users).
  • Easy app scaling as a business grows.
  • Backup for rapid business innovations.
Cost components and cost factors
  • Subscription or license fee, which can be significant, especially for enterprise-grade solutions.
  • Training costs.
  • App maintenance costs: maintaining low-code apps can be more complex and costly than traditional ones due to the platform's limitations.
  • Integration costs.
  • Vendor lock-in: many low-code platforms are proprietary, meaning you could face substantial costs if you ever need to migrate your applications to a different platform.

Test automation

  • Faster development process.
  • Increased efficiency of the testing process.
  • Increased test coverage.
  • Reusable tests that can be used across different app versions.
  • Bugs are detected early in the development cycle.
Cost components and cost factors

Cost components:

  • Tools, infrastructure (running automated tests may require dedicated servers or cloud resources), and training.
  • Efforts to write scripts and regularly update the tests.

Cost factors:

  • The size and complexity of the app to be tested.
  • Platform diversity: if the app needs to be tested across multiple platforms (like different operating systems or devices), it increases the cost of test automation.
  • Compliance requirements.

Deployment automation

  • Significantly reduced time and effort to release new software updates.
  • Reduced risk of inconsistencies and errors, leading to more reliable deployments.
  • Immediate feedback on the code, helping developers identify and fix issues faster.
  • Reduced downtime: automated deployments can be scheduled during off-peak hours.
Cost components and cost factors

Cost components:

  • Purchasing or licensing automation tools.
  • Deployment automation setup, maintaining and updating automation infrastructure.
  • Training costs for IT teams.

Cost factors:

  • The app’s size and complexity: more complex apps require more sophisticated automation tools, a CI/CD pipeline; have more dependencies, potential points of failure, etc.
  • Deployment strategy (e.g., hybrid or multi-cloud deployments are the most costly).

You can answer a few quick questions about your deployment automation needs - and our team will provide a tailored estimate.

Maintenance automation

  • Less time and effort for routine maintenance (e.g., monitoring, log analysis, configuration, and patch management).
  • Easily scaling to handle increased workloads (no additional staff needed).
  • Identifying issues before they become critical.
  • Facilitating compliance due to the timely introduction of patches, updates, and reconfigurations according to the policy.
Cost components and cost factors

Cost components:

  • Purchasing or licensing automation tools.
  • Automation setup, maintaining and updating automation infrastructure.
  • Training costs for in-house IT teams.
  • Integration of automation tools with existing systems and processes.

Cost factors:

  • The size and complexity of the system to be monitored.
  • Tech stack: some technologies may have readily available and affordable automation tools, while others may require more expensive or custom solutions.
  • Compliance requirements (additional automation features can be required, such as detailed logging or auditing capabilities).
  • Frequency of updates.
  • Stability of the application.

Want to Know How Much Will It Cost to Automate Your Software Development? 

Answer a few simple questions about your automation needs, and ScienceSoft’s consultants will jump in to recommend the optimal solutions for you.


*What's the primary goal you're looking to achieve through SDLC automation?

*Have you implemented any development automation solutions in the past?

*How soon do you need to integrate automation into your development cycle?

*Which stages of the SDLC do you want to automate?

Are there any particular DevOps tools and technologies you'd like to apply?

*What cloud platform do you use?

What tools or platforms are currently your go-to for managing the selected stages of your SDLC (please specify if possible)?

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Our team is on it!

ScienceSoft's experts will study your case and get back to you with the details within 24 hours.

Our team is on it!

Software Development Automation at Every Step of SDLC

Below, ScienceSoft shows why and how to automate almost every software delivery stage.

Note: Automation in software development and business automation are different areas. Software development automation focuses on improving the software development process, while business automation focuses on improving overall business operations. Business automation refers to the use of technology to automate various business processes, such as accounting, inventory management, and customer service.


If you are interested in business automation, please use the following links:


Requirements gathering

Requirements gathering

Automation at this SDLC stage is very complex and challenging due to the subjective nature of requirements and the need for human input and interpretation. Still, it's possible to use tools to automate software requirements collection, analysis, and documentation.

Some of the possible tools include:

  • Requirements management tools (Atlassian Jira, Trello, Asana, etc.): these tools provide a centralized repository for all requirements and allow stakeholders to collaborate on requirements in real time.
  • Natural language processing tools: NLP tools can help extract requirements from natural language documents, such as user stories, emails, and chat logs. These tools use machine learning algorithms to identify key phrases and concepts in the text and convert them into structured data. However, today, we don't use these tools at ScienceSoft and don't see the NLP's wide adoption for this purpose.



Software design

Software design

Automation tools can help create and validate software design documents, ensure that they meet the necessary standards and requirements. Some of the automation opportunities at this stage include the use of:

  • Design patterns (MVC, MVVM, Observer, etc.) that provide proven solutions to common architectural problems and can improve software quality and maintainability.
  • Modeling tools (UML, ArchiMate, SysML, etc.) that help automate the process of creating software architecture diagrams. These tools provide a standardized notation for representing software architecture and allow stakeholders to collaborate on architecture design in real time.
  • Architecture analysis tools (SonarQube, CAST, etc.) that help automate the process of analyzing software architecture for quality and compliance. These tools can identify potential issues in the architecture and provide recommendations for improvement.





The tools that help automate the process of writing code include:

  • Integrated development environments (Eclipse, Visual Studio, NetBeans, etc.) provide such useful features as auto-completion, syntax highlighting, and debugging. These tools can reduce the time and effort required for coding and ensure that the code is consistent with the architecture.
  • Low-code platforms (Microsoft Power Apps, OutSystems, Mendix, etc.) provide a visual, drag-and-drop interface for building applications. This allows developers to quickly create and modify application components without writing extensive lines of code. Low-code platforms also typically include pre-built templates and integrations, reducing the need for developers to start from scratch.
  • Unit testing tools (JUnit, NUnit, PyUnit, TestNG, etc.) allow developers to write test cases that check the functionality of specific parts of their code and then run those tests automatically.
  • Version control tools provide a centralized repository for source code, documentation, and other project assets. Version control tools automate code branching and merging, automatically track every code change, and perform code reviews.
  • Code generation tools (Yeoman, Codesmith, MyGeneration, etc.) automate code generation from templates or models. There are also AI-based tools (like OpenAI) that analyze large amounts of data and learn from patterns to generate optimized code for specific tasks or applications. At ScienceSoft, we don't use these tools as we see they are yet in their infancy.





QA automation involves writing and running code-based test scripts to simulate user and software interactions. ScienceSoft's team usually automates regression and integration tests, cross-browser testing, performance testing, and security testing. For this, we use such tools as Selenium, Protractor, Appium, REST Assured, RestSharp frameworks and Apache JMeter.






Automation tools can assist in deploying software parts to various environments, such as development, testing, staging, and production.

At this stage, the most popular practices and tools include:

  • Continuous integration and continuous deployment (CI/CD) tools (Jenkins, GitLab CI/CD, CircleCI, etc.) to automate the process of building, testing, and deploying applications. At ScienceSoft, we generally need 3–5 weeks to develop an efficient CI/CD process for a mid-sized software development project with several microservices, an API layer and a front-end part. The most sophisticated CI/CD process helps integrate, test and deploy new software functionality within 2–3 hours.
  • Containerization tools (e.g., Docker and Kubernetes) can reduce the time and effort required to deploy an app in containers and ensure the app is always running in a consistent environment.
  • Infrastructure-as-code (IaC) tools (e.g., Terraform and AWS CloudFormation) can reduce the time and effort to deploy the infrastructure resources the app requires and ensure that the infrastructure is always configured correctly.

The key practice at this stage is CI/CD pipeline implementation. CI/CD pipeline implementation does not require IaC and containerization, but both can be beneficial in achieving faster and more reliable deployments, ensuring consistency across different environments.






Automation can help monitor how the app behaves after the deployment and identify issues before they become problems.

At this stage, the most popular automation practices include the use of:

  • Monitoring tools (Nagios, Zabbix, Datadog, etc.) that automatically monitor network services, hosts, and devices, and alert administrators when performance issues or risks of failure arise.
  • Log analysis tools (Logstash, Splunk, Graylog, Logmatic, etc.) that automatically analyze logs for issues and potential failures.
  • Configuration management tools (Ansible, Chef, Puppet, etc.) that help automate the management of app configurations.
  • Patch management tools (WSUS, SCCM, etc.) that help automate the process of applying patches and updates to software.


Sourcing Models for Software Development Automation

In-house team

  • Full control over the automation process setup and team productivity.
  • Specific resources may be required, which are not efficient to hire for a one-time project.
  • All hiring and managerial efforts are on your side.

Full outsourcing

  • A vendor assumes full responsibility for the team assembly and management and the quality of deliverables.
  • Established frameworks for test automation, CI/CD pipelines, application monitoring, etc.
  • Tangible negative impact can arise from working with a vendor who can't fulfill its contractual obligations, deliver quality services, protect sensitive data.

In-house team + Outsourced consultancy

  • An in-house team deeply knows internal processes and software systems, while an outsourced consultancy offers expert guidance, helps overcome challenges, and fills the gaps in technical skills.
  • Risks of choosing an unreliable vendor.
  • Establishing smooth collaboration between teams requires time and experience.

Why Automate Software Development with ScienceSoft?

  • 35 years of experience in building software.
  • 11 years in DevOps consulting.
  • 23 years in test automation.
  • Both advisory and practical assistance.
  • Quality-first approach based on a mature ISO 9001-certified quality management system.
  • ISO 27001-certified security management based on comprehensive policies and processes, advanced security technology, and skilled professionals.
  • A vast test automation toolkit, including Selenium, Apache JMeter, Ranorex, REST-assured, etc.
  • Development of custom test automation frameworks.
  • ScienceSoft is a 3-year champion in The Americas’ Fastest-Growing Companies rating by the Financial Times.

Tailored collaboration with your in-house or third-party development and QA teams.

Comprehensive reports on project health and KPI-based automation quality control.

On-demand training to upgrade Agile and DevOps skills of your in-house teams.

What Do Our Software Automation Specialists Do?

Software developer (trained in the target low-code platform)

  • Training and mentoring citizen developers.
  • Building low-code apps.
  • Integrating the new apps with data sources and other enterprise apps.

CI/CD engineer / DevOps engineer

  • Developing CI/CD pipelines.
  • Reviewing and modifying CI/CD pipelines.
  • Maintaining CI/CD tools and platforms (if applicable).
  • Developing and maintaining CI/CD pipeline configurations.

Test automation architect

  • Designing a test automation architecture.
  • Selecting and configuring test automation tools and frameworks.
  • Managing test automation engineers to improve the maintainability and granularity of automated tests and decrease test execution time.

Test automation engineer

  • Setting up the test environment and test data generation.
  • Developing, executing, and maintaining automated test scripts.
  • Reviewing automatically generated defect reports.
  • Collaborating with other cross-functional team members to improve the maintainability and granularity of test scripts.

Key Automation Tools We Use at ScienceSoft

Microsoft Power Apps

Best for

Low-code development


  • Among Leaders in Gartner’s Magic Quadrant for Enterprise Low-Code Application Platforms.
  • Creation of low-code applications with pre-built templates or from a blank canvas.
  • Extending existing apps with new functionality.
  • 300+ connectors to integrate with the Office 365 universe, Azure SQL, Azure Cosmos DB, Amazon Redshift, and more.
  • Rich AI capabilities – pre-built AI models can extract text from images, perform key phrase extraction and sentiment analysis.
  • Introducing advanced app security and controls.


Power Apps licenses: $5 – one app per user/month and $20 – unlimited apps per user/month.

AI Builder: $500 per unit/month.

Cost of authenticated users of a portal built with Microsoft Power Apps:

  • $200/per 100 logins.
  • $1,000/per 1,000 logins.
  • $3,500/per 5,000 logins.

Cost of anonymous external portal users: $100/per 100,000 portal page views.


Best for

Development and execution of automated web UI tests


  • 4.5 rating on Gartner.com
  • Supports Windows, Mac, Linux OSs.
  • Supports Chrome, Firefox, Internet Explorer/Edge, Safari, Opera browsers.
  • Supports C#, Java, PHP, Python, Ruby, Scala.
  • Selenium web application tests can be re-used in mobile testing with Appium.
  • Many helping forums and a huge community.




Best for

Continuous integration


  • 4.3 rating on G2.com
  • Easy installation on different operating systems.
  • Speedy release cycles.
  • Intuitive user interface.
  • Ecosystem of over 1,800 plugins (platforms, user interfaces, administration, source code and build management tools).
  • Support of distributed builds to reduce loads on the CI server.
  • A thriving community of contributors, which helps keep the tool up-to-date.



Software Development Automation Services by ScienceSoft


We can help you discover potential areas for automation, calculate the necessary investments and potential ROI. We also build the automation strategy and roadmap, carefully select and customize the most effective automation tools for your specific needs, conduct training and workshops for your internal teams.


ScienceSoft offers comprehensive services around the most popular SDLC automation practices: low-code development (process setup, tool configuration, and training for your citizen developers), test automation, CI/CD implementation, and application maintenance automation.

Team augmentation

Hire experienced talents to eliminate staff shortage or automation skill deficiency in your development team. We can provide from 1 to 100 employees, managed by our or your team leads or project managers. You will get CVs in 1–2 days; interviews will be arranged in 1–4 days.

About ScienceSoft

ScienceSoft is a US-headquartered IT services company with decades-long experience in software development, DevOps consulting, and test automation. We offer both advisory and practical assistance with software development automation to help businesses speed up high-quality releases. ScienceSoft is ISO 9001 and ISO 27001 certified, meaning we assure the quality of the delivered services and the security of the customers’ data. Our mission is driving success for our clients no matter what.