Metrics Sirisha
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The document discusses software metrics and how they can be used to drive testing projects. It defines key metrics like effort variation, schedule variation, and productivity that can help plan projects, control processes, and identify areas for improvement. Data collection strategies and operational definitions for various metrics are also provided.
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Degree: MBA, Syllabus: Alliance University. Date : Jan 2015.
Please note: This was prepared as a teaching aid. Not for commercial purposes. Sharing to spread the knowledge of Project Management. Note : Copyright belongs to respective owners. List of top references used to prepare these slides given.
If you have any questions, comments, improvement suggestions, Email to: niranjanakoodavalli@gmail.com
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The document discusses software metrics and how they can be used to drive testing projects. It defines key metrics like effort variation, schedule variation, and productivity that can help plan projects, control processes, and identify areas for improvement. Data collection strategies and operational definitions for metrics are also provided to help institutionalize a metrics program.
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The document discusses software metrics and how they can be used to measure and improve software testing projects. It defines key metrics like effort variation, schedule variation, and productivity that can help plan projects, control processes, and identify areas for improvement. The document also provides details on how to operationalize these metrics by specifying data collection procedures, responsibilities, and sources. Institutionalizing a metrics program is important to drive continuous process enhancement.
Metrics Sirisha
This document discusses understanding metrics, applying metrics to drive testing projects, and data sources and means of capturing metrics. It aims to help readers understand metrics, apply metrics to testing projects, and identify data sources and methods for collecting metrics. The document covers understanding metrics, using metrics to guide testing work, and where and how to gather data for metrics.
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Key Topics Covered
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Metrics Sirisha
- 1. Software Metrics –Overview Blackboard by Sirisha N
- 9. … ..What to Measure ? Software Test Metrics Product Metrics Process Metrics Project Metrics Quality Metrics 1. Size Variation 2. Defect density 3. Code coverage 4. MTBF 1. TCA Productivity 2. TCR Productivity 3. TCE Productivity 4. Test Case challenged percentage 1. Effort variation 2. Schedule Variation 3. Schedule Compliance 4. Staff Utilization 1. Adhoc Bug % 2. Challenged Bug % 3. Rejected Bug % 4. Customer satisfaction Index
- 10. Data Collection Strategy WBS (.XLS) Time Sheet (.XLS) Estimation Sheet (.XLT) Estimation Methodology DTS (.XLS) RL (.XLS) Data Collected in PROJECT DATA COLLECTION EQA 2.0 D1.XLS PROJECT WBS EQA 1.0 D1.XLS Resource Name, Project Name, Build Name, Planned Tasks, Unplanned Tasks, Time spent Testing Defects, Customer identified defects (CID) Review Errors & Defects Test Report (.XLS) Guidelines, Templates Planned Effort, Actual Effort, Planned Start date, Planned Finish date, Interim Start date, Interim Finish date, Actual Start date, Actual Finish date, Estimated Size, Estimated Effort, Estimated Resource Count, CID Report (.XLS) Defect ID, Description, Source / Location, Identified date / by, Defect Type / Class, Detected in Phase, Injected in Phase, Defect Severity, Defect Status Error / Defect ID, Description, Source / Location, Identified date / by, Error/Defect Status Derived Metrics: 1. Effort Variation 2. Schedule Variation 3. TCA productivity 4. TCR productivity 5. TCE productivity 6. Challenged TC % 7. Adhoc Bug % 8. Challenged Bug % 9. Rejected Bug % Test Case ID, Executed by, Execution date, Test procedure, Expected results, Actual results, Execution status, Defect description Defect description Identified by, Identified date, Defect Type, Defect priority,
- 14. Effort Variation Effort can be derived from Size, if Productivity factor is known.. Effort (PH) = {Size (# TC) x 1000} / Productivity (TCA or TCR or TCE /Hr.) Data Collection Sheet for Effort Variation -Phase Wise Artifact : Project WBS EQA 1.0 D1.xls % Variation Actual Effort (in person hrs) Planned Effort (in person hrs) Activity Phase Modules Build Product Activity Code
- 18. Schedule Variation Data Collection Sheet for Schedule Variation - Phase Wise Artifact : Project WBS EQA 1.0 D1.xls % Comp lete % Varia tion Actual Finish Date Actual Start Date Actual Duration (cal. days) Plan Finish Date Plan Start Date Plan Duration (cal. days) Activity Phase Modules Build Product Act. Code
- 22. Productivity Artifact : Project Data Collection EQA 2.0 D1.xls Data Collection Sheet for Test Case Productivity TC Execution Effort # TC Executed TC Reviewing Effort # TC Reviewed TC Authoring Effort # TC Authored Module Build Product Resource ID Date
- 26. Adhoc/Challenged/Rejected Bug % Data Collection Sheet for Bug Details Artifact : Project Data Collection EQA 2.0 D1.xls # Invalid Bugs # Redundant Bugs # Challenged Bugs # Enhance ments # Bugs Posted Bugs by Testing Type Module Build Product Resource ID Date
- 29. Metrics based Project Mgmt.
- 30. Metrics based Project Mgmt.
- 31. Metrics based Project Mgmt.
- 32. Q Thank