Skip to content. | Skip to navigation

Sections
Home Challenges Quality Management
Bookmark and Share

Quality Management

Quality challenges will directly impact your organization’s ability to succeed. As the volume and complexity of software critical to your organization continues to increase, the risks associated with software quality likewise accelerate. Although development costs in certain sub-processes or disciplines may increase as the focus on quality increases, the cost benefits more than out-weigh the cost of software as a whole. These costs directly correlate with low software quality.

Poor quality can drive cost and schedule overruns; it can negatively impact customer satisfaction or confidence; it not only increases your management overhead but can also expose your organization to significant risk. To improve the quality of the software you develop or deliver, you must understand the impacts of software quality throughout your organization as well as the means to control and improve quality.

The table below lists common challenges that impact software quality, along with the MKS platform capabilities that will help you solve them.

 

Issue MKS Solution Capability and Benefits
Process Inefficiency and Waste
Quality and processes are linked inextricably. Good, enforceable process leads to good quality. Automation also play an major role in the cost and time to achieve better quality.
  • End-to-end process automation and enforcement
  • Identify bottlenecks with comprehensive metrics dashboards
  • Embrace lean and Agile concepts to drive out waste.

Late Cycle Rework
Errors introduced early in the lifecycle (during requirements definition) produce the majority of the rework on a project (as much as 40%) on the average project). Quality must be "baked in" from the beginning.
  • Improved capture of accurate and complete requirements early in the development cycle
  • Immediate propagation of changes upstream AND downstream
  • Better collaboration and communication with a single source of truth
Inability to Manage Growing Product Lines
When each variant is treated as a unique product, change management, defect management, and validation must be duplicated across products. This can create many quality issues as resources are spread thin.
  • Advanced reuse of all life-cycle assets including features, requirements, code, test cases, test results, etc.
  • Ability to perform rapid impact analysis across all products variants and product lines
  • Automated propagation of changes and fixes across applicable variants ensures quality across product lines
Disconnected Tools and Repositories
Data redundancy, siloed processes, and disconnected tools lead to significant manual intervention and with that comes a high percentage of preventable errors.
  • A single platform for managing all activities and assets
  • Enterprise integration gateway to ensure assets are accessible and relate-able while reducing data redundancy
Document Actions