Software inspection techniques to support project and quality management:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Aachen
Shaker
2001
|
Schriftenreihe: | Berichte aus der Softwaretechnik
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XVI, 142 S. graph. Darst. : 30 cm |
ISBN: | 3826585127 |
Internformat
MARC
LEADER | 00000nam a22000008c 4500 | ||
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001 | BV013798762 | ||
003 | DE-604 | ||
005 | 20031028 | ||
007 | t | ||
008 | 010626s2001 gw d||| m||| 00||| eng d | ||
016 | 7 | |a 961749229 |2 DE-101 | |
020 | |a 3826585127 |9 3-8265-8512-7 | ||
035 | |a (OCoLC)313705222 | ||
035 | |a (DE-599)BVBBV013798762 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
044 | |a gw |c DE | ||
049 | |a DE-473 |a DE-634 | ||
084 | |a ST 233 |0 (DE-625)143620: |2 rvk | ||
100 | 1 | |a Biffl, Stefan |e Verfasser |0 (DE-588)135932556 |4 aut | |
245 | 1 | 0 | |a Software inspection techniques to support project and quality management |c Stefan Biffl |
264 | 1 | |a Aachen |b Shaker |c 2001 | |
300 | |a XVI, 142 S. |b graph. Darst. : 30 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Berichte aus der Softwaretechnik | |
502 | |a Zugl.: Wien, Techn. Univ., Habil.-Schr., 2001 | ||
650 | 0 | 7 | |a Softwareentwicklung |0 (DE-588)4116522-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Schätzung |0 (DE-588)4193791-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Anforderungsdefinition |0 (DE-588)4193804-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Programmdokumentation |0 (DE-588)4175844-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Software |0 (DE-588)4055382-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Inspektion |0 (DE-588)4461772-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Fehlererkennung |0 (DE-588)4133764-5 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Software |0 (DE-588)4055382-6 |D s |
689 | 0 | 1 | |a Fehlererkennung |0 (DE-588)4133764-5 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Softwareentwicklung |0 (DE-588)4116522-6 |D s |
689 | 1 | 1 | |a Programmdokumentation |0 (DE-588)4175844-4 |D s |
689 | 1 | 2 | |a Inspektion |0 (DE-588)4461772-0 |D s |
689 | 1 | 3 | |a Anforderungsdefinition |0 (DE-588)4193804-5 |D s |
689 | 1 | 4 | |a Fehlererkennung |0 (DE-588)4133764-5 |D s |
689 | 1 | 5 | |a Schätzung |0 (DE-588)4193791-0 |D s |
689 | 1 | |5 DE-604 | |
856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009434837&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-009434837 |
Datensatz im Suchindex
_version_ | 1807772554811670528 |
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adam_text |
T
ABLE
OF
C
ONTENTS
P
REFACE
.
V
MOTIVATION
.
V
CONTRIBUTION
OF
THIS
WORK
.
V
DEFECT
DETECTION
AND
INSPECTION
PLANNING
.
VI
DEFECT
ESTIMATION
AND
INSPECTION
CONTROL
.VIII
ACKNOWLEDGEMENTS
.
X
LIST
OF
TABLES
.
XI
LIST
OF
FIGURES
.
XV
1
I
NTRODUCTION
.
1
LI
A
FRAMEWORK
FOR
INSPECTION
PLANNING
AND
CONTROL
.
2
1.2
PROCESSES
IN
THE
FRAMEWORK
.
3
1.2.1
PROCESS
1:
INSPECTION
CONTEXT
SETTING
.
3
1.2.2
PROCESS
2:
INSPECTION
PLANNING
.
3
1.2.3
PROCESS
3:
DEFECT
DETECTION
.
3
1.2.4
PROCESS
4:
DEFECT
COLLECTION
.
4
1.2.5
PROCESS
5:
DEFECT
ANALYSIS
.
4
1.2.6
PROCESS
6:
DECISION
ON
FURTHER
QUALITY
ASSURANCE
ACTIVITIES
.
4
1.3
LAYERS
IN
THE
FRAMEWORK
.
4
1.3.1
LAYER
1:
PROJECT
USE
OF
INSPECTION
RESULTS
.
4
1.3.2
LAYER
2:
INSPECTION
MANAGEMENT
.
5
1.3.3
LAYER
3:
(TECHNICAL)
INSPECTION
CONDUCT
.
5
1.4
THE
EMPIRICAL
SOFTWARE
ENGINEERING
PARADIGM
FOR
THE
EVALUATION
OF
INSPECTION
.
5
1.5
MAIN
RESEARCH
ISSUES
.
6
1.5.1
RESEARCH
ISSUES
ON
DEFECT
DETECTION
.
7
1.5.2
RESEARCH
ISSUES
ON
DEFECT
ESTIMATION
.
8
1.6
OVERVIEW
.
8
2
D
EFECT
D
ETECTION
WITH
S
OFTWARE
I
NSPECTION
.
11
2.1
THE
INSPECTION
PROCESS
.
11
2.1.1
INSPECTION
PLANNING.
.
11
2.1.2
DEFECT
DETECTION
.
11
2.1.3
DEFECT
COLLECTION
.
12
2.1.4
DEFECT
CORRECTION
.
12
2.1.5
VARIATIONS
OF
INSPECTION
PERFORMANCE
.
12
2.2
INDIVIDUAL
DEFECT
DETECTION
.
13
2.2.1
READING
TECHNIQUES
.
13
2.2.2
INSPECTOR
CAPABILITY
.
15
2.2.3
INFLUENCE
FACTORS
ON
DEFECT
DETECTION
PROBABILITY
.
15
2.2.4
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
16
2.3 DEFECT
DETECTION
IN
AN
INSPECTION
TEAM
.
17
2.3.1
DEFECT
DETECTION
PERFORMANCE
OF
A
NOMINAL
TEAM
.
17
2.3.2
DEFECT
DETECTION
EFFECTS
OF
AN
INSPECTION
MEETING
.
18
2.3.3
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
19
2.4
DEFECT
DETECTION
EFFECTS
OF
A
SECOND
INSPECTION
CYCLE
.
19
2.4.1
REINSPECTION
PROCESS
PARAMETERS
.
19
2.4.2
ASSUMPTIONS
FOR
THE
EFFECT
OF
A
REINSPECTION
.20
2.4.3
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.20
2.5
ECONOMIC
MODELS
OF
INSPECTION
AND
REINSPECTION
.
21
2.5.1
DIRECT
COST
AND
BENEFITS
OF
AN
INSPECTION
CYCLE
.
21
2.5.2
TOTAL
COST
AND
BENEFITS
OF
A
SECOND
INSPECTION
CYCLE
.
22
2.5.3
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
23
2.6
INSPECTION
SET-UP
PLANNING
.
24
2.6.1
OPTIMAL
SIZE
AND
READING
TECHNIQUE
MIX
WITH
GIVEN
INSPECTION
TIME
.
24
2.6.2
OPTIMAL
SIZE
AND
READING
TECHNIQUE
MIX
WITH
VARIABLE
INSPECTION
TIME
.
24
2.6.3
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
24
3
D
EFECT
E
STIMATION
BASED
ON
I
NSPECTION
D
ATA
.
27
3.1
DEFECT
ANALYSIS
APPROACHES
.
27
3.1.1
DEFECT
ESTIMATION
APPROACHES
.
28
3.1.2
MODELS
BASED
ON
HISTORICAL
DATA
.
28
3.1.3
DEFECT
CONTENT
ESTIMATION
.
28
3.1.4
INFLUENCE
FACTORS
ON
DEFECT
CONTENT
ESTIMATION
.
29
3.1.5
RELIABILITY
GROWTH
MODELS
FOR
SOFTWARE
INSPECTION.
29
3.1.6
THE
REINSPECTION
DECISION
.
29
3.2
EVALUATION
CRITERIA
FOR
DEFECT
CONTENT
ESTIMATION
MODEL
ACCURACY
.
30
3.2.1
MEAN
RELATIVE
ERROR
.
30
3.2.2
95%
CONFIDENCE
INTERVAL
ACCURACY
.
30
3.2.3
'
TRAFFIC
LIGHT
'
MODEL
FOR
ESTIMATION
ACCURACY
.
30
3.2.4
CORRECTNESS
OF
THE
REINSPECTION
DECISION
.
31
3.3
OBJECTIVE
MODELS:
CAPTURE-RECAPTURE
MODELS
AND
THE
DETECTION
PROFILE
METHOD
.
31
3.3.1
CAPTURE-RECAPTURE
ESTIMATION
MODELS
.
31
3.3.2
DEFECT
ESTIMATION
WITH
THE
DETECTION
PROFILE
METHOD
.
33
3.3.3
THE
COMBINATION
OF
READING
TECHNIQUES
AND
DEFECT
CONTENT
ESTIMATION
TECHNIQUES
.
33
3.3.4
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
34
3.4
SUBJECTIVE
MODELS:
INDIVIDUAL
AND
TEAM
ESTIMATION
.
34
3.4.1
INDIVIDUAL
DEFECT
ESTIMATION
.
35
3.4.2
TEAM
DEFECT
ESTIMATION
MODELS
.
36
3.4.3
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
37
3.5
USING
REINSPECTION
DATA
FOR
DEFECT
CONTENT
ESTIMATION
.
38
3.5.1
OBJECTIVE
COMBINATION
MODELS
FOR
USING
REINSPECTION
DATA
.
38
3.5.2 SUBJECTIVE
MODELS
WITH
REINSPECTION
DATA
.
40
3.5.3
RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
41
3.6
INSPECTION
CONTROL
.
42
3.7
DEFECT
DETECTION
CAPABILITY
ESTIMATION
FOR
REINSPECTION
.
42
3.7.1
DEFECT
DETECTION
CAPABILITY
ESTIMATION
WITH
RELIABILITY
GROWTH
MODELS
.
43
3.7.2
A
RELIABILITY
GROWTH
MODEL
FOR
SOFTWARE
INSPECTION.
43
3.7.3
EVALUATION
CRITERIA
FOR
DDC
ESTIMATION
ACCURACY
.
45
3.7.4 RESEARCH
ISSUES
FOR
THE
EXPERIMENT
.
46
4
E
XPERIMENT
D
ESCRIPTION
.
47
4.1
EXPERIMENT
PLAN
.
47
4.1.1
SUBJECTS
.
47
4.1.2 SOFTWARE
ARTIFACTS
.
47
4.1.3
EXPERIMENTAL
PROCEDURES
.
47
4.1.4
EXPERIMENTAL
DESIGN
.
48
4.1.5
EXPERIMENT
VARIABLES
.
49
4.1.6
DATA
ANALYSIS
APPROACH
.
50
4.1.7
THREATS
TO
VALIDITY
.
50
4.2
EXPERIMENT
PREPARATION
.
51
4.2.1
REQUIREMENTS
DOCUMENT
AND
DEFECT
SEEDING
USED
.
51
4.2.2
READING
TECHNIQUES
USED.
.
52
4.2.3
DATA
COLLECTION
TOOL
SUPPORT
.
52
4.2.4
FURTHER
PREPARATION
ACTIVITIES.
53
4.3
EXPERIMENT
OPERATION
.
53
4.3.1
THE
EXPERIMENTAL
INSPECTION
PROCESS
.
54
4.3.2
DETECTION
EFFECTS
OF
THE
INSPECTION
MEETING
.
54
4.4
EXPERIMENT
DATA
ANALYSIS
PROCESS
.
54
5
D
EFECT
D
ETECTION
R
ESULTS
AND
I
MPLICATIONS
FOR
I
NSPECTION
P
LANNING
.
57
5.1
INDIVIDUAL
DEFECT
DETECTION
.
57
5.1.1
READING
TECHNIQUES
.
57
5.1.2
INSPECTOR
QUALIFICATION
.
58
5.1.3
INSPECTION
FACTORS
.
59
5.1.4
USAGE
OF
INSPECTION
TIME
.
61
5.
I.
5
DISCUSSION
OF
RESULTS
.
62
5.2
DEFECT
DETECTION
IN
AN
INSPECTION
TEAM
.
65
5.2.1
DEFECT
DETECTION
PERFORMANCE
OF
THE
TEAMS
IN
THE
EXPERIMENT
.
65
5.2.2
DEFECT
DETECTION
PERFORMANCE
OF
A
SYNTHETIC
NOMINAL
TEAM
.
66
5.2.3
DEFECT
DETECTION
PROFILES
OF
NOMINAL
TEAMS
OVER
INSPECTION
TIME
.
68
5.2.4
DEFECT
DETECTION
EFFECTS
OF
AN
INSPECTION
MEETING
.
70
5.2.5
DISCUSSION
OF
RESULTS
.
70
5.3
DEFECT
DETECTION
EFFECTS
OF
A
SECOND
INSPECTION
CYCLE
.
71
5.
3.1
DETECTION
EFFECT
OF
A
REINSPECTION
.
71
5.3.2
DETECTION
EFFECTIVENESS
WITH
WEIGHTED
DEFECTS.
72
5.3.3
DISCUSSION
OF
RESULTS
.
75
5.4
ECONOMIC
MODELS
OF
INSPECTION
AND
REINSPECTION
.
76
5.4.1
CASE
LA:
MOST-LIKELY
BENEFITS
AND
INDIRECT
COSTS.
76
5.4.2
CASE
LB:
MOST-LIKELY
BENEFITS,
BUT
NO
INDIRECT
COSTS
.
77
5.4.3 CASE
2A:
PESSIMISTIC
BENEFIT
ASSUMPTIONS
.
77
5.4.4
CASE
2
B:
PESSIMISTIC
BENEFIT
ASSUMPTIONS
FOR
MINOR
DEFECTS
.
77
5.4.5
CASES
3X:
LOW
BENEFIT
FOR
CRITICAL
DEFECTS
.
78
5.4.6
CASES
4
A
AND
4B:
SENSITIVITY
ANALYSIS
OF
THE
BREAK-EVEN
BENEFIT
VECTOR
.
78
5.4.7
CASE
5:
PESSIMISTIC
BENEFIT
ASSUMPTIONS
WITHOUT
INDIRECT
COSTS
.
78
5.4.8
DISCUSSION
OF
RESULTS
.
78
5.5
INSPECTION
SET-UP
PLANNING
.
79
5.5.1
OPTIMAL
TEAM
SIZE
AND
READING
TECHNIQUE
MIX
WITH
VARIABLE
INSPECTION
TIME
.
80
5.5.2
OPTIMAL
COMBINATIONS
OF
INSPECTOR
CAPABILITIES
FOR
TEAM
SIZE AND
INSPECTION
DURATION
.
81
5.5.3
DISCUSSION
OF
RESULTS
.
82
6
E
STIMATION
R
ESULTS
FOR
D
EFECT
C
ONTENT
AND
D
EFECT
D
ETECTION
C
APABILITY
.
85
6.1
OBJECTIVE
DEFECT
CONTENT
ESTIMATION
TECHNIQUES
.
85
6.1.1
EVALUATION
WITH
DATA
FROM
ONE
INSPECTION
CYCLE
.
85
6.1.2
EVALUATION
WITH
DATA
FROM
TWO
INSPECTION
CYCLES
.
87
6.1.3
IMPACT
OF
INSPECTION
EFFECTIVENESS
ON
ESTIMATION
ACCURACY
.
90
6.1.4
DISCUSSION
OF
RESULTS
.
91
6.2
SUBJECTIVE
INDIVIDUAL
DEFECT
CONTENT
ESTIMATION
.
92
6.2.1
ESTIMATION
ACCURACY
OF
DISTRIBUTION
MODELS
.
92
6.2.2
INSPECTION
DESIGN
FACTORS
.
93
6.2.3
INSPECTION
OPERATION
FACTORS
.
93
6.2.4
INSPECTION
RESULT
FACTORS
.
93
6.2.5
DISCUSSION
OF
RESULTS
.
94
6.3
SUBJECTIVE
TEAM
DEFECT
CONTENT
ESTIMATION
.
96
6.3.1
EVALUATION
WITH
DATA
FROM
ONE
INSPECTION
CYCLE
.
96
6.3.2
EVALUATION
WITH
DATA
FROM
TWO
INSPECTION
CYCLES
.
98
6.3.3
DISCUSSION
OF
RESULTS
.
100
6.4
INSPECTION
CONTROL
.
101
6.4.1
COMPARISON
OF
OBJECTIVE
AND
SUBJECTIVE
MODELS
.
101
6.4.2
DISCUSSION
OF
RESULTS
.
102
6.5
DEFECT
DETECTION
CAPABILITY
ESTIMATION
OF
REINSPECTION
WITH
A
RELIABILITY
GROWTH
MODEL
.
103
6.5.1
TEAM
EFFECTIVENESS
ESTIMATION
.
103
6.5.2
TRAFFIC
LIGHT
MODEL
OF
THE
ABSOLUTE
RELATIVE
ERROR
.
104
6.5.3
INFLUENCE
OF
THE
INITIAL
INSPECTION
EFFECTIVENESS
.
104
6.5.4
REINSPECTION
DECISION
CORRECTNESS
.
105
6.5.5
DISCUSSION
OF
RESULTS
.
106
7
S
UMMARY
AND
F
URTHER
W
ORK
.
109
7.1
SUMMARY
OF
RESEARCH
ISSUES
AND
RESULTS
FOR
DEFECT
DETECTION
AND
INSPECTION
PLANNING
.
110
7.
1.1
INDIVIDUAL
INSPECTOR
PERFORMANCE
.
110
7.1.2
INSPECTION
TEAM
PERFORMANCE
.
ILL
7.1.3
ECONOMIC
INSPECTION
PERFORMANCE
.
112
7.1.4
PERFORMANCE
OF
HYPOTHETIC
INSPECTION
DESIGNS
FOR
INSPECTION
PLANNING.
.
112
7.2
SUMMARY
OF
RESEARCH
ISSUES
AND
RESULTS
FOR
DEFECT
ESTIMATION
.
113
7.2.1
BEST
OBJECTIVE
AND
SUBJECTIVE
DEFECT
CONTENT
ESTIMATION
MODELS
.
114
7.2.2
INFLUENCE
OF
DEFECT
DETECTION
FACTORS
ON
DEFECT
CONTENT
ESTIMATION
MODELS
.
115
7.2.3
COMPARISON
OF
THE
ACCURACY
OF
OBJECTIVE
AND
SUBJECTIVE
ESTIMATION
MODELS
.
115
7.2.4
ESTIMATION
OF
THE
DEFECT
DETECTION
EFFECTIVENESS
OF
A
REINSPECTION
.
116
7.3
FURTHER
WORK
.
117
7.
3.1
REPLICATION
OF
THE
EXPERIMENT
.
118
7.3.2
DEFECT
DETECTION
AND
INSPECTION
PLANNING
.
118
7.3.3
DEFECT
ESTIMATION
AND
INSPECTION
CONTROL.
119
7.3.4
TECHNOLOGY
TRANSFER
.
120
8
R
EFERENCES
AND
W
EB
R
ESOURCES
.
121
8.1
REFERENCES
.
121
8.2
WEB
RESOURCES
.
126
9
A
PPENDIX
.
129
9.1
STATISTICAL
MODEL
DERIVATIONS
.
129
9.1.1
STATISTICAL
FORMULAS
FOR
THE
PERFORMANCE
MODEL
OF
A
SYNTHETIC
NOMINAL
TEAM
.
129
9.1.2
EXTENDING
THE
JELINSKI-MORANDA
MODEL
TO
PREDICT
OF
THE
MARGINAL
EFFECTIVENESS
OF
SOFTWARE
INSPECTION
.
130
9.2
TEAM
DATA
TABLES
.
132
9.2.1
TEAM
RAW
DATA
AND
COST-BENEFIT
MODELS
.
132
9.2.2
SYNTHETIC
NOMINAL
TEAM
DATA
WITH
TIME
AS
USED
.
133
9.2.3
SYNTHETIC
NOMINAL
TEAM
DATA
WITH
VARIABLE
TIME
SLICES
.
134
9.3
READING
TECHNIQUE
SAMPLES
.
138
9.4
GLOSSARY
.
139
9.5
LIST
OF
ACRONYMS.
141
9.6
INDEX
.
142 |
any_adam_object | 1 |
author | Biffl, Stefan |
author_GND | (DE-588)135932556 |
author_facet | Biffl, Stefan |
author_role | aut |
author_sort | Biffl, Stefan |
author_variant | s b sb |
building | Verbundindex |
bvnumber | BV013798762 |
classification_rvk | ST 233 |
ctrlnum | (OCoLC)313705222 (DE-599)BVBBV013798762 |
discipline | Informatik |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV013798762 |
illustrated | Illustrated |
indexdate | 2024-08-19T00:10:53Z |
institution | BVB |
isbn | 3826585127 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009434837 |
oclc_num | 313705222 |
open_access_boolean | |
owner | DE-473 DE-BY-UBG DE-634 |
owner_facet | DE-473 DE-BY-UBG DE-634 |
physical | XVI, 142 S. graph. Darst. : 30 cm |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Shaker |
record_format | marc |
series2 | Berichte aus der Softwaretechnik |
spelling | Biffl, Stefan Verfasser (DE-588)135932556 aut Software inspection techniques to support project and quality management Stefan Biffl Aachen Shaker 2001 XVI, 142 S. graph. Darst. : 30 cm txt rdacontent n rdamedia nc rdacarrier Berichte aus der Softwaretechnik Zugl.: Wien, Techn. Univ., Habil.-Schr., 2001 Softwareentwicklung (DE-588)4116522-6 gnd rswk-swf Schätzung (DE-588)4193791-0 gnd rswk-swf Anforderungsdefinition (DE-588)4193804-5 gnd rswk-swf Programmdokumentation (DE-588)4175844-4 gnd rswk-swf Software (DE-588)4055382-6 gnd rswk-swf Inspektion (DE-588)4461772-0 gnd rswk-swf Fehlererkennung (DE-588)4133764-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Software (DE-588)4055382-6 s Fehlererkennung (DE-588)4133764-5 s DE-604 Softwareentwicklung (DE-588)4116522-6 s Programmdokumentation (DE-588)4175844-4 s Inspektion (DE-588)4461772-0 s Anforderungsdefinition (DE-588)4193804-5 s Schätzung (DE-588)4193791-0 s DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009434837&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Biffl, Stefan Software inspection techniques to support project and quality management Softwareentwicklung (DE-588)4116522-6 gnd Schätzung (DE-588)4193791-0 gnd Anforderungsdefinition (DE-588)4193804-5 gnd Programmdokumentation (DE-588)4175844-4 gnd Software (DE-588)4055382-6 gnd Inspektion (DE-588)4461772-0 gnd Fehlererkennung (DE-588)4133764-5 gnd |
subject_GND | (DE-588)4116522-6 (DE-588)4193791-0 (DE-588)4193804-5 (DE-588)4175844-4 (DE-588)4055382-6 (DE-588)4461772-0 (DE-588)4133764-5 (DE-588)4113937-9 |
title | Software inspection techniques to support project and quality management |
title_auth | Software inspection techniques to support project and quality management |
title_exact_search | Software inspection techniques to support project and quality management |
title_full | Software inspection techniques to support project and quality management Stefan Biffl |
title_fullStr | Software inspection techniques to support project and quality management Stefan Biffl |
title_full_unstemmed | Software inspection techniques to support project and quality management Stefan Biffl |
title_short | Software inspection techniques to support project and quality management |
title_sort | software inspection techniques to support project and quality management |
topic | Softwareentwicklung (DE-588)4116522-6 gnd Schätzung (DE-588)4193791-0 gnd Anforderungsdefinition (DE-588)4193804-5 gnd Programmdokumentation (DE-588)4175844-4 gnd Software (DE-588)4055382-6 gnd Inspektion (DE-588)4461772-0 gnd Fehlererkennung (DE-588)4133764-5 gnd |
topic_facet | Softwareentwicklung Schätzung Anforderungsdefinition Programmdokumentation Software Inspektion Fehlererkennung Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009434837&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT bifflstefan softwareinspectiontechniquestosupportprojectandqualitymanagement |