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Quality enablement to achieve predictable delivery

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You need quality enablement to achieve predictable delivery for your organisation which takes effort to achieve.

I do a lot of ALM Assessments for companies and almost every customer that I speak to has unpredictable quality in the software delivery that they receive from their teams. This is not always the Development Teams fault and is often the result of an organisation that is finely tuned to minimise the ability to have a defined and predictable level of quality. In most cases this is due to a lack of a bar that quantifies the minimum things that need to be completed in order for and organisation to understand what i involved in each delivery.

If you have no bar for delivery and thus no idea what needs to be completed for each thing to be delivered then how can you expect to make accurate (or at least as good as we can get) prediction on when things are going to be delivered? You would effectively have no empirical evidence to rely on for predictability of delivery. In addition, the varied quality level results in more bugs in production, which then puts those individuals’ responsible for adding features under more pressure. If you put developers under pressure they will consistently and increasingly cut quality to meet the same deliverable.

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Figure: The Iron Triangle

In addition many product backlogs lack acceptance criteria leaving the Development Team to guess at the basis by which the customer will accept that something is complete. Indeed because if this lack of acceptance criteria backlog items can often be deceptively large which puts the development team under greater pleasure for delivery and thus the cut quality.

Fix quality for improved predictability

The only way to successfully create predictable software delivery is to fix 3 of the 4 points of the Iron Triangle. In traditional software development quality is the hidden value and if you fix everything else it is Quality that suffers. Quality should be anchored with an explicit definition.

  • Definition of Done – Your DoD is the fixed measure or explicit definition of quality for your software development process. It is a short measurable checklist which mirrors shippable that can and is applied to every unit of work delivered. It can be hard to define but without it we don’t know how much work needs to be done in order to ship any backlog item. Apply it at least to the output of the iteration and ideally to every backlog item that you complete.
  • Acceptance Criteria – While the DoD is applied equally to every backlog item acceptance criteria only applies to an individual item. All conversations between the Development Team, Product Owner and the Business should be reflected in the acceptance criteria so that things that are discussed are mot missed. This also serves to understand scale and encourages breaking down backlog items into smaller units of work. Once you understand what needs to be done to complete an item, overly large items become transparently obvious.
  • Automated Builds – Having automated builds that can measure the quality of your software is paramount to minimising the amount of work that the team needs to do to verify the software and creating automated acceptance tests and unit tests increase the validity of those builds. Ideally you should have an automated test (UI or Unit) for every acceptance criteria that was added to the backlog item.
  • Automated Deployment – Having automated deployment will force the team to create working software and allow you to build and maintain something that will minimize the cost of delivery. If the Development Team knows that the business can choose to ship at any time they are then under pressure to maintain that ship-ability and thus quality.

Doing all of these things will serve to make quality the goal not the lack of it.

Conclusion

The way that we have traditionally measured our development teams have finely tuned them to fluctuate quality in order to meet aggressive delivery schedules. However this fluctuating quality only serves to reduce our ability to deliver and annoy our customers when they find the resulting bugs.

The goal is to increase quality not reduce it but first we need to be able to measure that quality and enforce it.

Quality enablement to achieve predictable delivery was last modified: July 24th, 2013 by Martin Hinshelwood

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  • Daniel Tobler

    Good post. Like the focus on quality in contrast to feature creation. You can add a 5th point: Measuring technical debt. There are tools like Sonar/SQALE doing this automatically. However, the measured data needs to be calibrated and interpreted by an expert. I more like the approach that each Development Team is estimating their technica debt Sprint by Sprint and ev. compare it with an automatically measured debt.

    • http://blog.hinshelwood.com/ Martin Hinshelwood

      Why would you not use the velocity to determine the build up of technical debt. The problem with tools to do this for you is that they can only tell you about the types of technical debt that they are designed to find, what about the unknown?

      Regardless of the types of technical debt your velocity will reduce Sprint on Sprint if it is building up. Teams will spend more time struggling with that debt, whatever it is, and less time on features. This is your barometer of that debt.

      • Daniel Tobler

        Decreasing velocity would be the perfect indicator for technical debt. Unfortunately, velocity varies:
        1.) from Sprint to Sprint. No need to explain this.
        2.) in the long term since the nature of the PBI’s changes: From new functionality to smaller enhancements: This affects the size of the estimation. I’ve seen this with several teams.
        It is rather difficult to read the technical debt from the velocity alone.
        I think that increasing technical debt can be detected only by interpreting several signals:
        – Decreasing velocity
        – Development Team estimate how much of the Sprint time it lost with technical debt
        – Development Team discussion on technical debt each Sprint
        – Measuring code quality with e.g. Sonar and interpreting the changes since last Sprint(s)
        However, technical debt remains a quality issue.

        • http://blog.hinshelwood.com/ Martin Hinshelwood

          I agree, I would use a decrease in velocity to indicate that I my need additional data. I would just not spend the effort to gather that data without a compelling reason to :)

  • Daniel Tobler

    Forgot: And you need a governance process: Somebody needs to put his fingers in when the technical debt is rising since the team is focusing on features only. Who is this? Maybe Scrum Master, maybe a quality guy, …?

    • http://blog.hinshelwood.com/ Martin Hinshelwood

      The whole Development Team needs to be responsible and accountable for delivering high quality working software that has no undone work. If you make someone else responsible then the Development Team can safely pass the buck… Give them help, but it is their problem to solve…

      • Daniel Tobler

        This is absolutely true: The Development Team remains accountable. What I wanted to say is that sometimes an outsider has to point with the finger on the unpleasant truth of bad code/design and sometimes another force as to support the Development Team to convince the Product Owner that redesign is now more important than adding value.

        • http://blog.hinshelwood.com/ Martin Hinshelwood

          I am often that outsider as well :) Sometime it is not a pleasant experience…

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