From d897d051acf37cb4429129fb39953d9bf7eab4b3 Mon Sep 17 00:00:00 2001 From: "hannes.kuchelmeister" Date: Wed, 6 Nov 2019 16:16:18 +0100 Subject: [PATCH] add literature - thesis written at CAS --- 01_Topic/topic.bib | 45 +++++++++++++++++++++++++++++++++++++--- 02_Proposal/proposal.bib | 45 +++++++++++++++++++++++++++++++++++++--- 2 files changed, 84 insertions(+), 6 deletions(-) diff --git a/01_Topic/topic.bib b/01_Topic/topic.bib index c16942d..05a4f9d 100644 --- a/01_Topic/topic.bib +++ b/01_Topic/topic.bib @@ -85,7 +85,7 @@ @phdthesis{raabKollaborativeProduktkonfigurationEchtzeit2019, address = {{Karlsruhe}}, - type = {{Masterthesis}}, + type = {{Master's thesis}}, title = {{Kollaborative Produktkonfiguration in Echtzeit}}, language = {de}, school = {Hochschule Karlsruhe}, @@ -821,12 +821,15 @@ OCLC: 935904837} doi = {10.1007/978-981-13-8406-6_8} } -@article{ninausINTELLIREQIntelligentTechniques, +@inproceedings{ninausINTELLIREQIntelligentTechniques2014, + address = {{Montpellier, France}}, title = {{{INTELLIREQ}}: {{Intelligent Techniques}} for {{Software Requirements Engineering}}}, abstract = {Requirements Engineering is considered as one of the most critical phases of a software development project. Low-quality requirements are a major reason for the failure of a project. Consequently, techniques are needed that help to improve the support of stakeholders in the development of requirements models as well as in the process of deciding about the corresponding release plans. In this paper we introduce the INTELLIREQ Requirements Engineering environment. This environment is based on different recommendation approaches that support stakeholders in requirements-related activities such as definition, quality assurance, reuse, and release planning. We provide an overview of recommendation approaches integrated in INTELLIREQ and report results of empirical studies that show in which way recommenders can improve the quality of Requirements Engineering processes.}, language = {en}, + booktitle = {Prestigious {{Applications}} of {{Intelligent Systems}}}, author = {Ninaus, Gerald and Felfernig, Alexander and Stettinger, Martin and Reiterer, Stefan and Leitner, Gerhard and Weninger, Leopold and Schanil, Walter}, - pages = {6}, + year = {2014}, + pages = {1161-1166}, file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\YKJ2AIB9\\Ninaus et al. - INTELLIREQ Intelligent Techniques for Software Re.pdf} } @@ -875,4 +878,40 @@ OCLC: 935904837} file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\8TDXS8ES\\2015 - Studien- und Prüfungsordnung des Karlsruher Instit.pdf} } +@phdthesis{benzMoeglichkeitenIntelligenterEmpfehlungssysteme2017, + address = {{Kalrsruhe}}, + type = {{Master's thesis}}, + title = {{M{\"o}glichkeiten intelligenter Empfehlungssysteme in der Produktkonfikuration}}, + language = {de}, + school = {Hochschule Karlsruhe \textendash{} Technik und Wirtschaft}, + author = {Benz, Daniel}, + month = sep, + year = {2017}, + file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\8HENYXLR\\Benz - Karlsruhe, 13. September 2017.pdf} +} + +@phdthesis{ullmannEntwurfUndUmsetzung2017, + address = {{Flensburg}}, + type = {Bachelor's Thesis}, + title = {Entwurf Und {{Umsetzung}} Einer {{Recommendation Engine}} Zur {{Produktkonfiguration}} Mit Maschinellen {{Lernverfahren}} Bei Der {{CAS Software AG}}}, + language = {en}, + school = {Hochschule Flensburg}, + author = {Ullmann, Nils Merlin}, + month = jul, + year = {2017}, + file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\RT38GZN7\\Ullmann - Entwurf und Umsetzung einer Recommendation Engine .pdf} +} + +@phdthesis{wetzelPersonalisierterUndLernender2017, + address = {{Karlsruhe}}, + type = {{Master's thesis}}, + title = {{Personalisierter und lernender Empfehlungsdienst f{\"u}r komplexe Produktkonfigurationen}}, + language = {de}, + school = {Hochschule Karlsruhe \textendash{} Technik und Wirtschaft}, + author = {Wetzel, Gilles}, + month = oct, + year = {2017}, + file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\GRXXLIXS\\Wetzel - Personalisierter und lernender Empfehlungsdienst f.pdf} +} + diff --git a/02_Proposal/proposal.bib b/02_Proposal/proposal.bib index c16942d..05a4f9d 100644 --- a/02_Proposal/proposal.bib +++ b/02_Proposal/proposal.bib @@ -85,7 +85,7 @@ @phdthesis{raabKollaborativeProduktkonfigurationEchtzeit2019, address = {{Karlsruhe}}, - type = {{Masterthesis}}, + type = {{Master's thesis}}, title = {{Kollaborative Produktkonfiguration in Echtzeit}}, language = {de}, school = {Hochschule Karlsruhe}, @@ -821,12 +821,15 @@ OCLC: 935904837} doi = {10.1007/978-981-13-8406-6_8} } -@article{ninausINTELLIREQIntelligentTechniques, +@inproceedings{ninausINTELLIREQIntelligentTechniques2014, + address = {{Montpellier, France}}, title = {{{INTELLIREQ}}: {{Intelligent Techniques}} for {{Software Requirements Engineering}}}, abstract = {Requirements Engineering is considered as one of the most critical phases of a software development project. Low-quality requirements are a major reason for the failure of a project. Consequently, techniques are needed that help to improve the support of stakeholders in the development of requirements models as well as in the process of deciding about the corresponding release plans. In this paper we introduce the INTELLIREQ Requirements Engineering environment. This environment is based on different recommendation approaches that support stakeholders in requirements-related activities such as definition, quality assurance, reuse, and release planning. We provide an overview of recommendation approaches integrated in INTELLIREQ and report results of empirical studies that show in which way recommenders can improve the quality of Requirements Engineering processes.}, language = {en}, + booktitle = {Prestigious {{Applications}} of {{Intelligent Systems}}}, author = {Ninaus, Gerald and Felfernig, Alexander and Stettinger, Martin and Reiterer, Stefan and Leitner, Gerhard and Weninger, Leopold and Schanil, Walter}, - pages = {6}, + year = {2014}, + pages = {1161-1166}, file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\YKJ2AIB9\\Ninaus et al. - INTELLIREQ Intelligent Techniques for Software Re.pdf} } @@ -875,4 +878,40 @@ OCLC: 935904837} file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\8TDXS8ES\\2015 - Studien- und Prüfungsordnung des Karlsruher Instit.pdf} } +@phdthesis{benzMoeglichkeitenIntelligenterEmpfehlungssysteme2017, + address = {{Kalrsruhe}}, + type = {{Master's thesis}}, + title = {{M{\"o}glichkeiten intelligenter Empfehlungssysteme in der Produktkonfikuration}}, + language = {de}, + school = {Hochschule Karlsruhe \textendash{} Technik und Wirtschaft}, + author = {Benz, Daniel}, + month = sep, + year = {2017}, + file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\8HENYXLR\\Benz - Karlsruhe, 13. September 2017.pdf} +} + +@phdthesis{ullmannEntwurfUndUmsetzung2017, + address = {{Flensburg}}, + type = {Bachelor's Thesis}, + title = {Entwurf Und {{Umsetzung}} Einer {{Recommendation Engine}} Zur {{Produktkonfiguration}} Mit Maschinellen {{Lernverfahren}} Bei Der {{CAS Software AG}}}, + language = {en}, + school = {Hochschule Flensburg}, + author = {Ullmann, Nils Merlin}, + month = jul, + year = {2017}, + file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\RT38GZN7\\Ullmann - Entwurf und Umsetzung einer Recommendation Engine .pdf} +} + +@phdthesis{wetzelPersonalisierterUndLernender2017, + address = {{Karlsruhe}}, + type = {{Master's thesis}}, + title = {{Personalisierter und lernender Empfehlungsdienst f{\"u}r komplexe Produktkonfigurationen}}, + language = {de}, + school = {Hochschule Karlsruhe \textendash{} Technik und Wirtschaft}, + author = {Wetzel, Gilles}, + month = oct, + year = {2017}, + file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\GRXXLIXS\\Wetzel - Personalisierter und lernender Empfehlungsdienst f.pdf} +} +