Systems engineering software and solutions
Scale your engineering processes with AI-driven insights across the product lifecycle
Overview
Complex product development challenges
Today’s software and product development teams are tasked with creating offerings that are of high quality, meet safety-critical compliance and regulatory standards, are price-competitive, and are delivered quickly.
The solution is to adopt a pragmatic approach to managing the development — from requirements and modeling through development, product testing and release. Maximizing effectiveness requires an end-to-end view across the entire product lifecycle for all stakeholders.
Watch: IBM ELM supports compliance at enterprise scale (02:26)
Benefits
Manage product complexity
Adopting an end-to-end solution for the product and software development lifecycle makes it easier to coordinate multiple work streams and collaborate/communicate across all stakeholders, including suppliers.
Improve team productivity
Keeping dispersed teams connected, enhancing real-time collaboration, automating repetitive tasks and improving traceability across the entire development lifecycle helps increase productivity of the development team.
Minimize risk, maximize advantage
Leveraging the visibility provided through and end-to-end approach enables transparency and traceability from requirements through testing. Continuous testing, improved change management and less rework lowers risk and improves quality.
Lower cost
Adopting a more agile approach to managing product and software development enhances productivity of your engineering teams, lowers costly late-cycle rework and improves overall product quality.
Compliance and documentation
Leveraging a single source of engineering data and processes, along with traceability, provides a strong foundation for validating compliance and documenting development status.
Reporting and analytics
Being able to generate reports to understand the source of issues, communicate the status of the project and define areas of potential process improvement will help reduce cost, improve quality and ensure on-time delivery of products.
Systems engineering solutions
Requirements management
Requirements management serves as an essential practice and framework for product lifecycle management. It controls project scope, saving time and money. It also drives better insights for product development, with enhanced traceability and improved collaboration.
Model-Based Systems Engineering (MBSE)
As product complexity grows, so does the need to provide better model-based systems design. MBSE lets diverse teams collaborate to analyze requirements, optimize design decisions and validate functionality. Plus, teams perform design reviews and automate delivery.
Agile software development workflow management
Enabling effective collaboration in real time is critical for success across dispersed, multi-disciplined teams. Proper workflow management offers an open architecture for collaboration, a streamlined agile development model, and automation of governance.
Test management and quality assurance
Quality management creates benefit opportunities, but collaborative, web-based tools for comprehensive test planning are needed to boost product quality. Integrated test solutions provide extreme clarity for immediate feedback, maximum efficiency and reduced cost.
Systems engineering tools and software
SDLC process optimization
IBM engineering lifecycle optimization offerings expand standard ALM capabilities with enhanced functionality for analyzing engineering data, managing processes, establishing best practices, generating custom reports and managing third-party integration adapters.
End-to-end ELM Tools Suite (ELM Base)
The IBM ELM Tools Suite – Base bundles three key components of systems and software engineering management: requirements, testing and workflow management. This bundle effectively provides the foundation to establish a holistic development management environment.
Extended ELM Software Suite
The extended IBM ELM Tools Suite bundle provides an expanded development management environment through five key components of systems and software engineering management: requirements, testing, workflow management, systems design and engineering data analysis.
INCOSE on the future of systems engineering
Systems of systems, teams of teams. What else does the future hold? The International Council on Systems Engineering looks ahead.