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Experimental Software Engineering Issues: Critical Assessment and Future Directions

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Cover of 'Experimental Software Engineering Issues: Critical Assessment and Future Directions'

Table of Contents

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    Book Overview
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    Chapter 91 The experimental paradigm in software engineering
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    Chapter 92 Profile of an artifact assessment capability
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    Chapter 93 Experiments and measurements for systems integration
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    Chapter 94 Software engineering still on the way to an engineering discipline
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    Chapter 95 Problems in modeling the software development process as an adventure game
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    Chapter 96 Qualitative techniques and tools for measuring, analyzing, and simulating software processes
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    Chapter 97 On experimental Computer Science
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    Chapter 98 Session 1 summary the experimental paradigm in software engineering
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    Chapter 99 Objectives and context of software measurement, analysis and control
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    Chapter 100 Position paper
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    Chapter 101 Software Engineering as an organisational challenge
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    Chapter 102 Quantitative measurements based on process and context models
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    Chapter 103 Selecting, implementing, and measuring methods to improve the software development process
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    Chapter 104 Rethinking measurement to support incremental process improvement
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    Chapter 105 Session 2 summary objectives and context of measurement/experimentation
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    Chapter 106 Software measurement and experimentation frameworks, mechanisms, and infrastructure
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    Chapter 107 Towards well-defined, shareable product data
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    Chapter 108 A view on the use of three research philosophies to address empirically determined weaknesses of the software engineering process
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    Chapter 109 Bridging the gap between research and practice in software engineering management: Reflections on the staffing factors paradox
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    Chapter 110 A methodology for evaluating software engineering methods and tools
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    Chapter 111 Experimental software engineering should concentrate on software evolution
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    Chapter 112 Yet another laboratory for software engineering
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    Chapter 113 An axiomatic model for program complexity
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    Chapter 114 Support of experimentation by measurement theory
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    Chapter 115 Session 3 summary procedures and mechanisms for measurement/experimentation
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    Chapter 116 Task-specific utility assessment models and their role in the development of software engineering handbooks
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    Chapter 117 Quantitative empirical modeling for managing software development: Constraints, needs and solutions
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    Chapter 118 Software business, concurrent engineering and experience factory relationships
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    Chapter 119 Establishing the fundamentals of software engineering
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    Chapter 120 Measurement-based modelling issues — the problem of assuring ultra-high dependability
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    Chapter 121 The role of simulation in software engineering experimentation
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    Chapter 122 Multiple viewpoints of software models
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    Chapter 123 Session 4 summary [Measurement-based] modeling
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    Chapter 124 Software engineering models, using and reusing
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    Chapter 125 Model reuse and technology transfer
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    Chapter 126 Packaging for reuse and reuse of models
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    Chapter 127 A reuse culture for software construction
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    Chapter 128 Experimental software engineering; Packaging for reuse
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    Chapter 129 Experimental designs for validating metrics and applying them across multiple projects
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    Chapter 130 Session 5 summary packaging for reuse
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    Chapter 131 Position paper
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    Chapter 132 Technology transfer
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    Chapter 133 Systematic software technology transfer
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    Chapter 134 Effective use of measurement and experimentation in computing curricula
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    Chapter 135 Session 6 summary technology transfer, teaching and training
Overall attention for this book and its chapters
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Title
Experimental Software Engineering Issues: Critical Assessment and Future Directions
Published by
Springer Science & Business Media, August 1993
DOI 10.1007/3-540-57092-6
ISBNs
978-3-54-057092-9, 978-3-54-047903-1
Editors

Rombach, H. Dieter, Basili, Victor R., Selby, Richard W.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 13%
Australia 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Student > Master 2 25%
Professor 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Other 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Business, Management and Accounting 2 25%
Social Sciences 1 13%