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Home arrow Economics arrow Building Evolutionary Architectures: Support Constant Change
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COTS Implications

In many organizations, developers don’t own all the parts that make up their ecosystem. COTS (Commercial off-the-shelf) and package software is prevalent in large companies, creating challenges for architects building evolvable systems.

COTS systems must evolve alongside other applications within an enterprise. Unfortunately, these systems don’t support evolution well.

Incremental change

Most commercial software falls woefully short of industry standards for automation and testing. Architects and developers must often ring fence integration points and build whatever testing is possible, frequently treating the entire system as a black box. Enforcing agility in terms of deployment pipelines, DevOps, and other modern practices offers challenges to development teams.

Appropriate coupling

Package software often commits the worst sins in terms of coupling. Generally, the system is opaque, with a defined API developers use to integrate. Inevitably, that API suffers from the problem described in “Antipattern: Last 10% Trap”, allowing almost (but not quite) enough flexibility for developers to get useful work done.

Fitness functions

Adding fitness functions to package software is perhaps the biggest hurdle to enable evolvability. Generally, tools of this ilk don’t expose enough internals to allow unit or component testing, making behavioral integration testing the last resort. These tests are less desirable because they are necessarily coarse grained, must run in a complex environment, and must test a large swath of behavior of the system.

TIP

Work diligently to hold integration points to your level of maturity. If that isn’t possible, realize that some parts of the system will be easier for developers to evolve than others.

Another worrisome coupling point introduced by many package software vendors is opaque database ecosystems. In the best-case scenarios, the package software manages the state of the database entirely, exposing selected appropriate values via integration points. In the worst case, the vendor database is the integration point to the rest of the system, vastly complicating changes on either side of the API. In this case, architects and DBAs must wrestle control of the database away from the package software for any hope of evolvability.

If trapped with necessary package software, architects should build as robust a set of fitness functions as possible and automate their running at every possible opportunity. Lack of access to internals relegates testing to less desirable techniques.

 
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