On Tech

Month: February 2014

Application pattern: Proxy Consumer Driven Contracts

Proxy Consumer Driven Contracts simulate provider-side testing

When Continuous Delivery is applied to an estate of interdependent applications we want to release as frequently as possible to minimise batch size and lead times, and Consumer Driven Contracts is an effective build-time method of verifying consumer-provider interactions. However, Consumer Driven Contracts assumes the provider will readily share responsibility for conversation integrity with the consumer, and that can be difficult to accomplish if the provider has different practices and/or is a third-party organisation. How can Consumer Driven Contracts be adapted to an environment in which the provider cannot or will not engage in joint risk mitigation?

For example, consider an organisation in which the applications Consumer A and Consumer B are dependent upon a customer details capability offered by a third-party Provider application. The Provider Contract is communicated by the third-party organisation as an API document, and it is used by Consumer A and Consumer B to consume name/address and name/address/email respectively. Consumer Contracts are made available to the provider for testing, but as the third-party organisation has more lucrative customers and a slower release cycle it is is unwilling to engage in Consumer Driven Contracts.

Consumer Driven Contracts - Consumer Contracts

In this situation a new Provider release could cause a runtime communications failure with Consumer A and/or Consumer B with little or no warning. It is likely that some form of consumer-side integration testing will have to be adopted as a risk reduction strategy, unless the provider role within Consumer Driven Contracts can be simulated.

In Proxy Consumer Driven Contracts a provider proxy is created that assumes responsibility for testing the Consumer Driven Contracts as if it was the provider itself. Consumer A and Consumer B supply their Consumer Contracts to a Provider Proxy, which acts in a provider role.

Consumer Driven Contracts - Proxy Consumer Driven Contracts

When a new Provider release is announced by the third-party organisation the updated API document is stored within the Provider Proxy source tree. This triggers a Provider Proxy commit build that will transform the human-readable Provider Contract into a machine-readable equivalent, and use it to validate the Consumer Driven Contracts previously supplied by Consumer A and Consumer B. This means incompatibilities can be detected merely seconds after new Provider documentation is supplied by the third-party organisation.

Proxy Consumer Driven Contracts incur a greater maintenance cost than Consumer Driven Contracts, but if the provider cannot or will not become involved in risk reduction then a simulation of provider-side unit testing should be preferable to a lengthy period of consumer-side integration testing.

Organisation antipattern: Release Testing

Release Testing is high cost, low value risk management theatre

Described by Elisabeth Hendrickson as originating with the misguided belief that “testers test, programmers code, and the separation of the two disciplines is important“, the traditional segregation of development and testing into separate phases has disastrous consequences for product quality and validates Jez Humble’s adage that “bad behavior arises when you abstract people away from the consequences of their actions“. When a development team has authority for changes and a testing team has responsibility for quality, there will be an inevitable increase in defects and feedback loops that will inflate lead times and increase organisational vulnerability to opportunity costs.

Release Testing - Develop and Test

Agile software development aims to solve this problem by establishing cross-functional product teams, in which testing is explicitly recognised as a continuous activity and there is a shared commitment to product quality. Developers and testers collaborate upon a testing strategy described by Lisa Crispin as the Testing Pyramid, in which Test Driven Development drives the codebase design and Acceptance Test Driven Development documents the product design. The Testing Pyramid values unit and acceptance tests over manual and end-to-end tests due to the execution times and well-publicised limitations of the latter, such as Martin Fowler stating that “end-to-end tests are more prone to non-determinism“.

Release Testing - Product Team

Given Continuous Delivery is predicated upon the optimisation of product integrity, lead times, and organisational structure in order to deliver business value faster, the creation of cross-functional product teams is a textbook example of how to optimise an organisation for Continuous Delivery. However, many organisations are prevented from fully realising the benefits of product teams due to Release Testing – a risk reduction strategy that aims to reduce defect probability via manual and/or automated end-to-end regression testing independent of the product team.

Release Testing - Release Testing

While Release Testing is traditionally seen as a guarantee of product quality, it is in reality a fundamentally flawed strategy of disproportionately costly testing due to the following characteristics:

  1. Extensive end-to-end testing – as end-to-end tests are slow and less deterministic they require long execution times and incur substantial maintenance costs. This ensures end-to-end testing cannot conceivably cover all scenarios and results in an implicit reduction of test coverage
  2. Independent testing phase – a regression testing phase brazenly re-segregates development and testing, creating a product team with authority for changes and a release testing team with responsibility for quality. This results in quality issues, longer feedback delays, and substantial wait times
  3. Critical path constraints – post-development testing must occur on the critical path, leaving release testers under constant pressure to complete their testing to a deadline. This will usually result in an explicit reduction of test coverage in order to meet expectations

As Release Testing is divorced from the development of value-add by the product team, the regression tests tend to either duplicate existing test scenarios or invent new test scenarios shorn of any business context. Furthermore, the implicit and explicit constraints of end-to-end testing on the critical path invariably prevent Release Testing from achieving any meaningful amount of test coverage or significant reduction in defect probability.

This means Release Testing has a considerable transaction cost and limited value, and attempts to reduce the costs or increase the value of Release Testing are a zero-sum game. Reducing transaction costs requires fewer end-to-end tests, which will decrease execution time but also decrease the potential for defect discovery. Increasing value requires more end-to-end tests, which will marginally increase the potential for defect discovery but will also increase execution time. We can therefore conclude that Release Testing is an example of what Jez Humble refers to as Risk Management Theatre – a process providing an artificial sense of value at a disproportionate cost:

Release Testing is high cost, low value Risk Management Theatre

To undo the detrimental impact of Release Testing upon product quality and lead times, we must heed the advice of W. Edwards Deming that “we cannot rely on mass inspection to improve quality“. Rather than try to inspect quality into each product increment, we must instead build quality in by replacing Release Testing with feedback-driven product development activities in which release testers become valuable members of the product team. By moving release testers into the product team everyone is able to collaborate in tight feedback loops, and the existing end-to-end tests can be assessed for removal, replacement, or retention. This will reduce both the wait waste and overprocessing waste in the value stream, empowering the team to focus upon valuable post-development activities such as automated smoke testing of environment configuration and the manual exploratory testing of product features.

Release Testing - Final Product Team

A far more effective risk reduction strategy than Release Testing is batch size reduction, which can attain a notable reduction in defect probability with a minimal transaction cost. Championed by Eric Ries asserting that “small batches reduce risk“, releasing smaller change sets into production more frequently decreases the complexity of each change set, therefore reducing both the probability and cost of defect occurrence. In addition, batch size reduction also improves overheads and product increment flow, which will produce a further improvement in lead times.

Release Testing is not the fault of any developer, or any tester. It is a systemic fault that causes blameless teams of individuals to be bedevilled by a sub-optimal organisational structure, that actively harms lead times and product quality in the name of risk management theatre. Ultimately, we need to embrace the inherent lessons of Agile software development and Continuous Delivery – product quality is the responsibility of everyone, and testing is an activity not a phase.

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