Measuring Agile Effectiveness: Why This was Harder Than We Thought, and Why That is Important

Abstract

Large volumes of Transactional Data are different from conventional. Transactional Data has some characteristics of Big Data. Observational, uncontrolled, needs Context, Adapted, Merged (from Kaiser Fung and William of Occam). Data are observational rather than designed; definitions may vary. There are no controls or quasi-controls to test causality. We adapted data collected by different people with different purpose. Get the context; for example, identify how users use the tool. Merged data exacerbates the issue of lack of definition and misaligned objectives. We must come to terms with variability of data early on; significance does not mean real predictable effects.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2017
Accession Number
AD1087004

Entities

People

  • William R. Nichols

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Agile Software Development
  • Best Practices
  • Big Data
  • Computer Programming
  • Engineering
  • Engineers
  • Information Science
  • Materials
  • Measurement
  • Production
  • Productivity
  • Project Management
  • Software Development
  • Standards
  • Statistical Analysis
  • Throughput
  • Universities

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  • Systems Analysis and Design