Got SOA? Get (Automated) Quality Metrics!


Four Reasons for measuring application quality for SOA Development, Rollout, and Governance

1. Stop critical single points of failure. A failure in a single SOA component can have an impact on multiple applications. Hence, quality is critical to SOA components.

a. Automated quality measures (like the ones CAST produces) compare applications and components against industry best practices to identify quality lapses in your SOA repositories,

b. And provide actionable guidance on how to improve the quality of your SOA components.

Question: Do you know how to reliably detect and stop critical single points of failure?

2. Manage application performance across the multiple technologies and tiers spanned by your SOA systems. SOA repositories are typically built on a wide range of technologies. Performance problems are hardest to detect at the interfaces between tiers and technologies. Make sure that you have a quality measurement system that covers most technologies and platforms to highlight the quality of components across different layers and technologies.

Question: How does your data and application logic behave when crossing technology tiers?

3. Give your architects and developers practical guidance. Governance is the key to successful SOA implementation. However, governance is often an "ivory-tower" activity with very little practical guidance for day to day operational decisions. Strict conformity to SOA component development guidelines is key to a successful implementation of SOA. Deploy a system that automates the enforcement of these guidelines.

Question: How can architectural rules be written to provide practical guidance for developers?

4. Make service reuse a reality. The promise of service reuse, and the quantum leap in productivity it can generate, is quickly ruined by unprincipled service explosion. The result is a spaghetti bowl of services with many different variants of the same service, and developer confusion about what to reuse.

a. Automatically generate detailed information on service inputs and outputs, giving developers and architects a practical way to see the degree of similarity between any two services

b. Developers and architects can use this practical information to drive decisions around service modification, consolidation, or elimination.

c. Obtain automated visibility into service attributes makes service reuse a reality.

Question: How do you keep the explosion of services in check?

Filed in: Technical Debt
  This report describes the effects of different industrial factors on  structural quality. Structural quality differed across technologies with COBOL  applications generally having the lowest densities of critical weaknesses,  while JAVA-EE had the highest densities. While structural quality differed  slightly across industry segments, there was almost no effect from whether the  application was in- or outsourced, or whether it was produced on- or off-shore.  Large variations in the densities in critical weaknesses across applications  suggested the major factors in structural quality are more related to  conditions specific to each application. CRASH Report 2020: CAST Research on  the Structural Condition of Critical Applications Report
Open source is part of almost every software capability we use today. At the  very least libraries, frameworks or databases that get used in mission critical  IT systems. In some cases entire systems being build on top of open source  foundations. Since we have been benchmarking IT software for years, we thought  we would set our sights on some of the most commonly used open source software  (OSS) projects. Software Intelligence Report <> Papers
Making sense of cloud transitions for financial and telecoms firms Cloud  migration 2.0: shifting priorities for application modernization in 2019  Research Report
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A safer approach to application modernization and re-factoring for cloud