Triangulation as a basis for knowledge discovery in software engineering
Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carv...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Miller, James [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2008 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media, LLC 2008 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Empirical software engineering - Springer US, 1996, 13(2008), 2 vom: 27. Feb., Seite 223-228 |
|---|---|
| Übergeordnetes Werk: |
volume:13 ; year:2008 ; number:2 ; day:27 ; month:02 ; pages:223-228 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10664-008-9063-y |
|---|
| Katalog-ID: |
OLC2071659929 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2071659929 | ||
| 003 | DE-627 | ||
| 005 | 20230503052506.0 | ||
| 007 | tu | ||
| 008 | 200819s2008 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10664-008-9063-y |2 doi | |
| 035 | |a (DE-627)OLC2071659929 | ||
| 035 | |a (DE-He213)s10664-008-9063-y-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 004 |q VZ |
| 100 | 1 | |a Miller, James |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Triangulation as a basis for knowledge discovery in software engineering |
| 264 | 1 | |c 2008 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, LLC 2008 | ||
| 520 | |a Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. | ||
| 650 | 4 | |a Triangulation | |
| 650 | 4 | |a Knowledge discovery | |
| 650 | 4 | |a Software engineering | |
| 773 | 0 | 8 | |i Enthalten in |t Empirical software engineering |d Springer US, 1996 |g 13(2008), 2 vom: 27. Feb., Seite 223-228 |w (DE-627)235946516 |w (DE-600)1401304-6 |w (DE-576)102432406 |x 1382-3256 |7 nnns |
| 773 | 1 | 8 | |g volume:13 |g year:2008 |g number:2 |g day:27 |g month:02 |g pages:223-228 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s10664-008-9063-y |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_100 | ||
| 951 | |a AR | ||
| 952 | |d 13 |j 2008 |e 2 |b 27 |c 02 |h 223-228 | ||
| author_variant |
j m jm |
|---|---|
| matchkey_str |
article:13823256:2008----::ragltoaaaifrnwegdsoeyn |
| hierarchy_sort_str |
2008 |
| publishDate |
2008 |
| allfields |
10.1007/s10664-008-9063-y doi (DE-627)OLC2071659929 (DE-He213)s10664-008-9063-y-p DE-627 ger DE-627 rakwb eng 004 VZ Miller, James verfasserin aut Triangulation as a basis for knowledge discovery in software engineering 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2008 Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. Triangulation Knowledge discovery Software engineering Enthalten in Empirical software engineering Springer US, 1996 13(2008), 2 vom: 27. Feb., Seite 223-228 (DE-627)235946516 (DE-600)1401304-6 (DE-576)102432406 1382-3256 nnns volume:13 year:2008 number:2 day:27 month:02 pages:223-228 https://doi.org/10.1007/s10664-008-9063-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_100 AR 13 2008 2 27 02 223-228 |
| spelling |
10.1007/s10664-008-9063-y doi (DE-627)OLC2071659929 (DE-He213)s10664-008-9063-y-p DE-627 ger DE-627 rakwb eng 004 VZ Miller, James verfasserin aut Triangulation as a basis for knowledge discovery in software engineering 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2008 Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. Triangulation Knowledge discovery Software engineering Enthalten in Empirical software engineering Springer US, 1996 13(2008), 2 vom: 27. Feb., Seite 223-228 (DE-627)235946516 (DE-600)1401304-6 (DE-576)102432406 1382-3256 nnns volume:13 year:2008 number:2 day:27 month:02 pages:223-228 https://doi.org/10.1007/s10664-008-9063-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_100 AR 13 2008 2 27 02 223-228 |
| allfields_unstemmed |
10.1007/s10664-008-9063-y doi (DE-627)OLC2071659929 (DE-He213)s10664-008-9063-y-p DE-627 ger DE-627 rakwb eng 004 VZ Miller, James verfasserin aut Triangulation as a basis for knowledge discovery in software engineering 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2008 Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. Triangulation Knowledge discovery Software engineering Enthalten in Empirical software engineering Springer US, 1996 13(2008), 2 vom: 27. Feb., Seite 223-228 (DE-627)235946516 (DE-600)1401304-6 (DE-576)102432406 1382-3256 nnns volume:13 year:2008 number:2 day:27 month:02 pages:223-228 https://doi.org/10.1007/s10664-008-9063-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_100 AR 13 2008 2 27 02 223-228 |
| allfieldsGer |
10.1007/s10664-008-9063-y doi (DE-627)OLC2071659929 (DE-He213)s10664-008-9063-y-p DE-627 ger DE-627 rakwb eng 004 VZ Miller, James verfasserin aut Triangulation as a basis for knowledge discovery in software engineering 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2008 Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. Triangulation Knowledge discovery Software engineering Enthalten in Empirical software engineering Springer US, 1996 13(2008), 2 vom: 27. Feb., Seite 223-228 (DE-627)235946516 (DE-600)1401304-6 (DE-576)102432406 1382-3256 nnns volume:13 year:2008 number:2 day:27 month:02 pages:223-228 https://doi.org/10.1007/s10664-008-9063-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_100 AR 13 2008 2 27 02 223-228 |
| allfieldsSound |
10.1007/s10664-008-9063-y doi (DE-627)OLC2071659929 (DE-He213)s10664-008-9063-y-p DE-627 ger DE-627 rakwb eng 004 VZ Miller, James verfasserin aut Triangulation as a basis for knowledge discovery in software engineering 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2008 Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. Triangulation Knowledge discovery Software engineering Enthalten in Empirical software engineering Springer US, 1996 13(2008), 2 vom: 27. Feb., Seite 223-228 (DE-627)235946516 (DE-600)1401304-6 (DE-576)102432406 1382-3256 nnns volume:13 year:2008 number:2 day:27 month:02 pages:223-228 https://doi.org/10.1007/s10664-008-9063-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_100 AR 13 2008 2 27 02 223-228 |
| language |
English |
| source |
Enthalten in Empirical software engineering 13(2008), 2 vom: 27. Feb., Seite 223-228 volume:13 year:2008 number:2 day:27 month:02 pages:223-228 |
| sourceStr |
Enthalten in Empirical software engineering 13(2008), 2 vom: 27. Feb., Seite 223-228 volume:13 year:2008 number:2 day:27 month:02 pages:223-228 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Triangulation Knowledge discovery Software engineering |
| dewey-raw |
004 |
| isfreeaccess_bool |
false |
| container_title |
Empirical software engineering |
| authorswithroles_txt_mv |
Miller, James @@aut@@ |
| publishDateDaySort_date |
2008-02-27T00:00:00Z |
| hierarchy_top_id |
235946516 |
| dewey-sort |
14 |
| id |
OLC2071659929 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2071659929</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503052506.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2008 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10664-008-9063-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2071659929</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10664-008-9063-y-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Miller, James</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Triangulation as a basis for knowledge discovery in software engineering</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2008</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2008</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Triangulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Knowledge discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software engineering</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Empirical software engineering</subfield><subfield code="d">Springer US, 1996</subfield><subfield code="g">13(2008), 2 vom: 27. Feb., Seite 223-228</subfield><subfield code="w">(DE-627)235946516</subfield><subfield code="w">(DE-600)1401304-6</subfield><subfield code="w">(DE-576)102432406</subfield><subfield code="x">1382-3256</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2008</subfield><subfield code="g">number:2</subfield><subfield code="g">day:27</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:223-228</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10664-008-9063-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2008</subfield><subfield code="e">2</subfield><subfield code="b">27</subfield><subfield code="c">02</subfield><subfield code="h">223-228</subfield></datafield></record></collection>
|
| author |
Miller, James |
| spellingShingle |
Miller, James ddc 004 misc Triangulation misc Knowledge discovery misc Software engineering Triangulation as a basis for knowledge discovery in software engineering |
| authorStr |
Miller, James |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)235946516 |
| format |
Article |
| dewey-ones |
004 - Data processing & computer science |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1382-3256 |
| topic_title |
004 VZ Triangulation as a basis for knowledge discovery in software engineering Triangulation Knowledge discovery Software engineering |
| topic |
ddc 004 misc Triangulation misc Knowledge discovery misc Software engineering |
| topic_unstemmed |
ddc 004 misc Triangulation misc Knowledge discovery misc Software engineering |
| topic_browse |
ddc 004 misc Triangulation misc Knowledge discovery misc Software engineering |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Empirical software engineering |
| hierarchy_parent_id |
235946516 |
| dewey-tens |
000 - Computer science, knowledge & systems |
| hierarchy_top_title |
Empirical software engineering |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)235946516 (DE-600)1401304-6 (DE-576)102432406 |
| title |
Triangulation as a basis for knowledge discovery in software engineering |
| ctrlnum |
(DE-627)OLC2071659929 (DE-He213)s10664-008-9063-y-p |
| title_full |
Triangulation as a basis for knowledge discovery in software engineering |
| author_sort |
Miller, James |
| journal |
Empirical software engineering |
| journalStr |
Empirical software engineering |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works |
| recordtype |
marc |
| publishDateSort |
2008 |
| contenttype_str_mv |
txt |
| container_start_page |
223 |
| author_browse |
Miller, James |
| container_volume |
13 |
| class |
004 VZ |
| format_se |
Aufsätze |
| author-letter |
Miller, James |
| doi_str_mv |
10.1007/s10664-008-9063-y |
| dewey-full |
004 |
| title_sort |
triangulation as a basis for knowledge discovery in software engineering |
| title_auth |
Triangulation as a basis for knowledge discovery in software engineering |
| abstract |
Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. © Springer Science+Business Media, LLC 2008 |
| abstractGer |
Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. © Springer Science+Business Media, LLC 2008 |
| abstract_unstemmed |
Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy. © Springer Science+Business Media, LLC 2008 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_100 |
| container_issue |
2 |
| title_short |
Triangulation as a basis for knowledge discovery in software engineering |
| url |
https://doi.org/10.1007/s10664-008-9063-y |
| remote_bool |
false |
| ppnlink |
235946516 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s10664-008-9063-y |
| up_date |
2024-07-04T03:56:29.933Z |
| _version_ |
1803619286322774016 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2071659929</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503052506.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2008 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10664-008-9063-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2071659929</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10664-008-9063-y-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Miller, James</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Triangulation as a basis for knowledge discovery in software engineering</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2008</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2008</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Everyone agrees that reliable empirical “facts” must be derived from a series of investigations. However, the question of what is an appropriate framework for this series is an unresolved issue. Other articles in this issue present replication as the basis for this framework (Shull FJ, Carver JC, Vegas S, Juristo N (2008) The role of replications in Empirical Software Engineering, J Empir Softw Eng (in press)); however, alternatives exist! This brief note argues triangulation should be considered as the basis for this knowledge discovery (from empirical evaluation) strategy.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Triangulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Knowledge discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software engineering</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Empirical software engineering</subfield><subfield code="d">Springer US, 1996</subfield><subfield code="g">13(2008), 2 vom: 27. Feb., Seite 223-228</subfield><subfield code="w">(DE-627)235946516</subfield><subfield code="w">(DE-600)1401304-6</subfield><subfield code="w">(DE-576)102432406</subfield><subfield code="x">1382-3256</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2008</subfield><subfield code="g">number:2</subfield><subfield code="g">day:27</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:223-228</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10664-008-9063-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2008</subfield><subfield code="e">2</subfield><subfield code="b">27</subfield><subfield code="c">02</subfield><subfield code="h">223-228</subfield></datafield></record></collection>
|
| score |
7.399497 |