Travelled to:
1 × Australia
1 × Canada
1 × Croatia
1 × Finland
1 × France
1 × Germany
5 × USA
Collaborated with:
P.Avgeriou D.Tofan S.Angelov M.Soliman M.Riebisch M.Moussavi M.A.Babar D.Weyns A.Eberlein Marcel Meesters F.Gilson Francois Georis D.Ameller X.Franch A.Jadallah G.Ruhe S.Martínez-Fernández Amr R. Salama J.F.M.Santos M.Guessi D.Feitosa E.Y.Nakagawa Amr Rekaby Salama O.Zimmermann J.C.S.Santos Anthony Peruma M.Mirakhorli Jairo Veloz Vidal A.Sejfia
Talks about:
architectur (15) knowledg (7) softwar (7) develop (5) architect (4) refer (4) empir (4) communiti (3) system (3) studi (3)
Person: Matthias Galster
DBLP: Galster:Matthias
Contributed to:
Wrote 21 papers:
- ECSA-2015-GalsterA #agile #architecture #comprehension #development #using
- Understanding the Use of Reference Architectures in Agile Software Development Projects (MG, SA), pp. 268–276.
- WICSA-2014-GalsterB #architecture #empirical #information management
- Empirical Study of Architectural Knowledge Management Practices (MG, MAB), pp. 239–242.
- ECSA-2013-AmellerGAF #architecture #overview #quality
- The Role of Quality Attributes in Service-Based Systems Architecting: A Survey (DA, MG, PA, XF), pp. 200–207.
- ECSA-2013-TofanGA #architecture #overview
- Difficulty of Architectural Decisions — A Survey with Professional Architects (DT, MG, PA), pp. 192–199.
- SEKE-2013-SantosGGFN #architecture #embedded #evaluation
- A Checklist for Evaluation of Reference Architectures of Embedded Systems (JFMS, MG, MG, DF, EYN), pp. 451–454.
- SEKE-2013-TofanGA #architecture #information management
- Improving Architectural Knowledge Management in Public Sector Organizations — an Interview Study (DT, MG, PA), pp. 568–573.
- WICSA-ECSA-2012-GalsterA #enterprise #variability
- A Variability Viewpoint for Enterprise Software Systems (MG, PA), pp. 267–271.
- ECSA-2011-TofanGA #architecture #grid
- Reducing Architectural Knowledge Vaporization by Applying the Repertory Grid Technique (DT, MG, PA), pp. 244–251.
- ICSE-2011-TofanGA #architecture #grid #using
- Capturing tacit architectural knowledge using the repertory grid technique (DT, MG, PA), pp. 916–919.
- QoSA-ISARCS-2011-GalsterA #architecture
- Empirically-grounded reference architectures: a proposal (MG, PA), pp. 153–158.
- WICSA-2011-GalsterA #architecture #problem #variability
- Handling Variability in Software Architecture: Problems and Implications (MG, PA), pp. 171–180.
- SEKE-2010-GalsterEM #architecture #requirements #specification
- Textual Software Requirements Specifications in the Context of Software Architecting (MG, AE, MM), pp. 42–47.
- ICSM-2009-JadallahGMR
- Balancing value and modifiability when planning for the next release (AJ, MG, MM, GR), pp. 495–498.
- ESEC-FSE-2017-GalsterAMT #agile #architecture #question
- Reference architectures and Scrum: friends or foes? (MG, SA, SMF, DT), pp. 896–901.
- ECSA-2016-AngelovMG #agile #architecture #challenge #question #what
- Architects in Scrum: What Challenges Do They Face? (SA, MM, MG), pp. 229–237.
- WICSA-2016-GalsterW #architecture #empirical #how #question #research
- Empirical Research in Software Architecture: How Far have We Come? (MG, DW), pp. 11–20.
- WICSA-2016-SolimanGSR #architecture #case study #community #developer #stack overflow
- Architectural Knowledge for Technology Decisions in Developer Communities: An Exploratory Study with StackOverflow (MS, MG, ARS, MR), pp. 128–133.
- ICSA-2017-SantosPMGVS #architecture #comprehension #empirical #php #security
- Understanding Software Vulnerabilities Related to Architectural Security Tactics: An Empirical Investigation of Chromium, PHP and Thunderbird (JCSS, AP, MM, MG, JVV, AS), pp. 69–78.
- ICSA-2017-SolimanGR #architecture #community #developer #ontology
- Developing an Ontology for Architecture Knowledge from Developer Communities (MS, MG, MR), pp. 89–92.
- ICSA-2018-SolimanSGZR #architecture #community #developer #online
- Improving the Search for Architecture Knowledge in Online Developer Communities (MS, ARS, MG, OZ, MR), pp. 186–195.
- ECSA-2019-GalsterGG #machine learning #perspective #quality #what
- What Quality Attributes Can We Find in Product Backlogs? A Machine Learning Perspective (MG, FG, FG), pp. 88–96.