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A Method for Evidence Based Quality Practice Engineering

This document presents a comprehensive method for achieving desired quality levels in software engineering through evidence-based practices. Supported by the ESPA research program, it explores various techniques including social methods, quality indicator analysis, and the Semantic Web Experience Base. The methodology focuses on optimizing practices for the civil engineering and electric power grid sectors. Future research directions include systematic literature reviews and Bayesian network analyses to assess the generalizability of results. The ultimate goal is to enhance current operations by refining existing practices and introducing new methodologies.

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A Method for Evidence Based Quality Practice Engineering

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  1. A Method for Evidence Based Quality Practice Engineering Antti Hätinen 9.6.2009 TKK/SoberIT/ESPA Project

  2. Background • Kitchenham: Evidence Based Software Engineering • ESPA = Tekes funded research program in co-operation with Lappeenranta Technical University and TKK • Four Subject Companies • 50-500 employees • Software Products for Civil Engineering, Electric Power Grid management etc.

  3. RQ:How can a certain level of quality be reached? • Social methods • Experience factory

  4. Evaluation of Social Search Methods • Quality Palette Analysis • Indicator Analysis • NMA • Brainstorming on quality indicators • With helping questions • How could the current situation be improved the most? • Which current practices can’t be obeyed? • What prevents/limits reaching the goal? • What could be done earlier?

  5. Semantic Web Experience Base • Datamodel with 5 classes • Practice • Goal • Context • Result • Reference • Inference Rules (AI) • QPA Matrix plugin • ISO9162 Goal Closure • Web Interface • SPARQL+ queries

  6. Semantic Web Experience Base • Input • Systematic literature reviews of all scientific results on SWE practices <- huge work • Vector of current Practices of a company • Vector of Goals with (current) and target values • Output • Optimal set of practices (=methodology) that has empirical evidence on reaching the desired quality level • E.g. Which (design) practices should be used to reach usability of 5 clicks/goal • SPI initiatives how the current operations can be improved by • Introducing new practices • Enhancing existing practices • Removing inefficient (anti)practices

  7. Results • EBSE DB seems to be the best alternative for answering the RQ • While it is not widely available and fully populated, NMA/Brainstorming should be used for Software Process Improvement • Example of SPI Suggestions

  8. Future Research • Database is a platform for Systematic Literature Reviews • After reviewing & populating the db with all existing scientific evidence, at least 100 SLR conference articles can be written on different practices • A paper on the advantages of using Semantic Web for EBSE • Compared to the related work: • http://evidencebasedse.com • https://bpch.dau.mil • Bayesian Network analysis for answering • How generizable are the results on students to industry context? • What are the ISO9162 metrics driving the quality most? • E.g. what is the best (most orthogonal) definition for usability?

  9. Future Research • Ontology of SWE • Side-benefit for the academia for providing an exact vocabulary • Education on Software Engineering • The database can be used for • Reference index for all available research on each practice • Training material for teaching the current top 120 practices • Methodology research • How do the different sets of practices differ in performance? • Are there more optimal combinations = new methodologies? • How do Extreme Programming and Waterfall differ from each other?

  10. Thank You! Questions?

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