Experimentation in software engineering:
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2012
|
Schriftenreihe: | Computer Science
|
Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Beschreibung: | XXIII, 236 S. graph. Darst. 24 cm |
ISBN: | 9783642290435 3642290434 9783642432262 3642432263 |
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Datensatz im Suchindex
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---|---|
adam_text |
Contents
Part I Background
1
Introduction
. 3
1.1
Software Engineering Context
. 3
1.2
Science and Software Engineering
. 5
1.3
Exercises
. 8
2
Empirical Strategies
. 9
2.1
Overview of Empirical Strategies
. 10
2.2
Surveys
. 12
2.2.1
Survey Characteristics
. 12
2.2.2
Survey Purposes
. 13
2.2.3
Data Collection
. 13
2.3
Case Studies
. 14
2.3.1
Case Study Arrangements
. 15
2.3.2
Confounding Factors and Other Aspects
. 15
2.4
Experiments
. 16
2.4.1
Characteristics
. 17
2.4.2
Experiment Process
. 18
2.5
Empirical Strategies Comparison
. 18
2.6
Replications
. 19
2.7
Theory in Software Engineering
. 21
2.8
Aggregating Evidence from Empirical Studies
. 22
2.9
Empiricism in a Software Engineering Context
. 24
2.9.1
Empirical Evaluation of Process Changes
. 24
2.9.2
Quality Improvement Paradigm
. 26
2.9.3
Experience Factory
. 27
2.9.4
Goal/Question/Metric Method
. 29
2.10
Empirically-Based Technology Transfer
. 30
2.11
Ethics in Experimentation
. 33
2.12
Exercises
. 36
3
Measurement
. 37
3.1
Basic Concepts
. 38
3.1.1
Scale Types
. 39
3.1.2
Objective and Subjective Measures
. 40
3.1.3
Direct or Indirect Measures
. 41
3.2
Measurements in Software Engineering
. 41
3.3
Measurements in Practice
. 42
3.4
Exercises
. 43
4
Systematic Literature Reviews
. 45
4.1
Planning the Review
. 45
4.2
Conducting the Review
. 46
4.3
Reporting the Review
. 51
4.4
Mapping Studies
. 52
4.5
Example Reviews
. 52
4.6
Exercises
. 54
5
Case Studies
. 55
5.1
Case Studies in Its Context
. 56
5.1.1
Why Case Studies in Software Engineering?
. 57
5.1.2
Case Study Research Process
. 58
5.2
Design and Planning
. 58
5.2.1
Case Study Planning
. 58
5.2.2
Case Study Protocol
. 60
5.3
Preparation and Collection of Data
. 61
5.3.1
Interviews
. 62
5.3.2
Observations
. 64
5.3.3
Archival Data
. 65
5.3.4
Metrics
. 65
5.4
Data Analysis
. 65
5.4.1
Quantitative Data Analysis
. 65
5.4.2
Qualitative Data Analysis
. 66
5.4.3
Validity
. 68
5.5
Reporting
. 69
5.5.1
Characteristics
. 69
5.5.2
Structure
. 71
5.6
Exercises
. 72
6
Experiment Process
. 73
6.1
Variables, Treatments, Objects and Subjects
. 74
6.2
Process
. 76
6.3
Overview
. 81
6.4
Exercises
. 81
Part II Steps in the Experiment Process
7
Scoping
. 85
7.1
Scope Experiment
. 85
7.2
Example Experiment
. 87
7.3
Exercises
. 88
8
Planning
. 89
8.1
Context Selection
. 89
8.2
Hypothesis Formulation
. 91
8.3
Variables Selection
. 92
8.4
Selection of Subjects
. 92
8.5
Experiment Design
. 93
8.5.1
Choice of Experiment Design
. 93
8.5.2
General Design Principles
. 94
8.5.3
Standard Design Types
. 95
8.6
Instrumentation
. 101
8.7
Validity Evaluation
. 102
8.8
Detailed Description of Validity Threats
. 104
8.8.1
Conclusion Validity
. 104
8.8.2
Internal Validity
. 106
8.8.3
Construct Validity
. 108
8.8.4
External Validity
. 110
8.9
Priority Among Types of Validity Threats
.
Ill
8.10
Example Experiment
. 112
8.11
Exercises
. 116
9
Operation
. 117
9.1
Preparation
. 117
9.1.1
Commit Participants
. 118
9.1.2
Instrumentation Concerns
. 119
9.2
Execution
. 120
9.2.1
Data Collection
. 120
9.2.2
Experimental Environment
. 120
9.3
Data Validation
. 121
9.4
Example Operation
. 121
9.5
Exercises
. 122
10
Analysis and Interpretation
. 123
10.1
Descriptive Statistics
. 123
10.1.1
Measures of Central Tendency
. 124
10.1.2
Measures of Dispersion
. 126
10.1.3
Measures of Dependency
. 127
10.1.4
Graphical Visualization
. 128
10.2
Data Set Reduction
. 131
10.3
Hypothesis Testing
. 132
10.3.1
Basic Concept
. 132
10.3.2
Parametric and Non-parametric Tests
. 135
10.3.3
Overview of Tests
. 136
10.3.4
t-Test
. 138
10.3.5
Mann-Whitney
. 139
10.3.6
F-Test
. 140
10.3.7
Paired t-Test
. 140
10.3.8
Wilcoxon
. 141
10.3.9
Sign Test
. 142
10.3.10
ANOVA (ANalysis Of VAriance)
. 143
10.3.11
Kruskal-
Wallis. 144
10.3.12
Chi-2
. 145
10.3.13
Model Adequacy Checking
. 148
10.3.14
Drawing Conclusions
. 149
10.4
Example Analysis
. 150
10.5
Exercises
. 151
11
Presentation and Package
. 153
11.1
Experiment Report Structure
. 153
11.2
Exercises
. 157
Part III Example Experiments
12
Experiment Process Illustration
. 161
12.1
Scoping
. 161
12.1.1
Goal Definition
. 161
12.1.2
Summary of Scoping
. 163
12.2
Planning
. 163
12.2.1
Context Selection
. 163
12.2.2
Hypothesis Formulation
. 163
12.2.3
Variables Selection
. 165
12.2.4
Selection of Subjects
. 165
12.2.5
Experiment Design
. 165
12.2.6
Instrumentation
. 166
12.2.7
Validity Evaluation
. 166
12.3
Operation
. 167
12.3.1
Preparation
. 167
12.3.2
Execution
. 168
12.3.3
Data Validation
. 168
12.4
Analysis and Interpretation
. 169
12.4.1
Descriptive Statistics
. 169
12.4.2
Data Reduction
. 172
12.4.3
Hypothesis Testing
. 172
12.5
Summary
. 173
12.6
Conclusion
. 174
13
Are the Perspectives Really Different? Further
Experimentation on Scenario-Based Reading of Requirements
. 175
13.1
Introduction
. 176
13.2
Related Work
. 177
13.3
Research Questions
. 181
13.4
Experiment Planning
. 182
13.4.1
Variables
. 182
13.4.2
Hypotheses
. 182
13.4.3
Design
. 184
13.4.4
Threats to Validity
. 184
13.5
Experiment Operation
. 186
13.6
Data Analysis
. 187
13.6.1
Individual Performance for Different Perspectives
. 187
13.6.2
Defects Found by Different Perspectives
. 189
13.6.3
Is the Sample Size Large Enough?
. 192
13.6.4
Experience of Subjects
. 194
13.7
Interpretations of Results
. 194
13.8
Summary and Conclusions
. 195
13.9
Data on Individual Performance
. 197
13.10
Data on Defects Found by Perspectives
. 198
13.10.1
PG document
. 198
13.10.2
ATM document
. 199
Appendices
A Exercises
. 203
A.
1
Training
. 203
АЛЛ
Normally Distributed Data
. 204
A.
1.2
Experience
. 204
A.
1.3
Programming
. 205
A.
1.4
Design
. 209
A.
1.5
Inspections
. 212
A.2 Reviewing
. 212
A.3 Assignments
. 213
A.3.1 Unit Test and Code Reviews
. 214
A.
3.2
Inspection Methods
. 214
A.
3.3
Requirements Notation
. 215
В
Statistical Tables
. 217
References
. 223
Index
. 233 |
any_adam_object | 1 |
building | Verbundindex |
bvnumber | BV040263146 |
callnumber-first | Q - Science |
callnumber-label | QA76 |
callnumber-raw | QA76.758.E995 2012 |
callnumber-search | QA76.758.E995 2012 |
callnumber-sort | QA 276.758 E995 42012 |
callnumber-subject | QA - Mathematics |
classification_rvk | ST 230 |
classification_tum | DAT 310f |
ctrlnum | (OCoLC)802393457 (DE-599)BVBBV040263146 |
dewey-full | 005.1 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.1 |
dewey-search | 005.1 |
dewey-sort | 15.1 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
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genre_facet | Aufsatzsammlung |
id | DE-604.BV040263146 |
illustrated | Illustrated |
indexdate | 2024-07-21T00:36:20Z |
institution | BVB |
isbn | 9783642290435 3642290434 9783642432262 3642432263 |
language | English |
lccn | 2012940660 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025118876 |
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physical | XXIII, 236 S. graph. Darst. 24 cm |
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record_format | marc |
series2 | Computer Science |
spelling | Experimentation in software engineering Claes Wohlin ... Berlin [u.a.] Springer 2012 XXIII, 236 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Computer Science Experiment (DE-588)4015999-1 gnd rswk-swf Softwareentwicklung (DE-588)4116522-6 gnd rswk-swf Empirische Forschung (DE-588)4300400-3 gnd rswk-swf Software Engineering (DE-588)4116521-4 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Software Engineering (DE-588)4116521-4 s Empirische Forschung (DE-588)4300400-3 s DE-604 Softwareentwicklung (DE-588)4116522-6 s Experiment (DE-588)4015999-1 s 1\p DE-604 Wohlin, Claes Sonstige oth Erscheint auch als Online-Ausgabe, PDF, EPUB 978-3-642-29044-2 (DE-604)BV040313482 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4012457&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025118876&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Experimentation in software engineering Experiment (DE-588)4015999-1 gnd Softwareentwicklung (DE-588)4116522-6 gnd Empirische Forschung (DE-588)4300400-3 gnd Software Engineering (DE-588)4116521-4 gnd |
subject_GND | (DE-588)4015999-1 (DE-588)4116522-6 (DE-588)4300400-3 (DE-588)4116521-4 (DE-588)4143413-4 |
title | Experimentation in software engineering |
title_auth | Experimentation in software engineering |
title_exact_search | Experimentation in software engineering |
title_full | Experimentation in software engineering Claes Wohlin ... |
title_fullStr | Experimentation in software engineering Claes Wohlin ... |
title_full_unstemmed | Experimentation in software engineering Claes Wohlin ... |
title_short | Experimentation in software engineering |
title_sort | experimentation in software engineering |
topic | Experiment (DE-588)4015999-1 gnd Softwareentwicklung (DE-588)4116522-6 gnd Empirische Forschung (DE-588)4300400-3 gnd Software Engineering (DE-588)4116521-4 gnd |
topic_facet | Experiment Softwareentwicklung Empirische Forschung Software Engineering Aufsatzsammlung |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=4012457&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025118876&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT wohlinclaes experimentationinsoftwareengineering |