Effective monitoring for testing in agile · Effective monitoring for testing in agile Tomer Rider,...

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Leap ahead with Effective monitoring for testing in agile Tomer Rider, Intel

Transcript of Effective monitoring for testing in agile · Effective monitoring for testing in agile Tomer Rider,...

Page 1: Effective monitoring for testing in agile · Effective monitoring for testing in agile Tomer Rider, Intel . 2 Leap ahead with effective monitoring in agile Tomer Rider What to expect?

Leap ahead with Effective monitoring for testing in agile

Tomer Rider, Intel

Page 2: Effective monitoring for testing in agile · Effective monitoring for testing in agile Tomer Rider, Intel . 2 Leap ahead with effective monitoring in agile Tomer Rider What to expect?

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What to expect?

Focus

Takeaways

Monitoring in an agile environment

Familiarity with common measurements

What to expect?

Audience Agile team leaders / project managers / QA

Page 3: Effective monitoring for testing in agile · Effective monitoring for testing in agile Tomer Rider, Intel . 2 Leap ahead with effective monitoring in agile Tomer Rider What to expect?

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Introduction

• Increase team productivity

• Ensure product quality

• Enable decision making

• Motivation

• Provide a project status • Real-time

• Retrospective

• Projected

Why do we need to measure?

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What's different about Agile?

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Short dev cycles

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Strong collaboration

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Welcome changes

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Team ownership

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Leap ahead with effective monitoring in agile 9 Tomer Rider Organization name

Constant need of data

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Measuring across the development lifecycle

Tracking Execution Planning

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Planning

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Planning – Velocity

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Planning – Bug fixing

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Planning – QA coverage and focus

- Based on Risk: what are the areas that are compromised?

- Based on bug spread: what are the most “buggiest” areas?

- Based on new user stories

67 User Stories

30 Bugs

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Execution

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Execution – Coverage and Progress

67 User Stories

88% Covered

189 Test Cases

65% Executed

43 Bugs Found

27 Bugs verified

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Execution – Coverage and Progress

Execution – Opened bugs, current iteration

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Tracking

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Tracking – Task / User story

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Tracking – User stories Acceptance

Acceptance status:

Acceptance rate:

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Tracking

- Backlog bugs

- Unassigned / Un prioritized Bugs

- incompleted tasks

- Risks

- Changes in requirements

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How to stay effective?

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How to stay effective?

- Data consolidation – connect the dots

- Clear definition of the acceptance criteria

- Define clear business metrics

- Define clear diagnostics that will enable metrics improvement

- Continues improvement of the processes

- Give the right context

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If you can’t measure it, you can’t improve it!

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Questions ?

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Thank You!