TY - JOUR
T1 - Adoption of OSS components: A goal-oriented approach
AU - López, L.
AU - Costal, D.
AU - Ayala, C.P.
AU - Franch, X.
AU - Annosi, M.C.
AU - Glott, R.
AU - Haaland, K.
N1 - Cited By :1
Export Date: 25 May 2016
CODEN: DKENE
Correspondence Address: Costal, D.; Universitat Politècnica de Catalunya, Ed. Omega, Jordi Girona 1-3, Spain
References: Driver, M., Hype cycle for open-source software (2013) Technical Report, Gartner; Chesbrough, H., Open business models (2006) How to Thrive in the New Innovation Landscape, , Harvard Business School Press; Teece, D.J., (2010) Business Models, Business Strategy and Innovation, 43, pp. 172-194. , Long Range Planning Journal; Kudorfer, F., Laisne, J.P., Lauriere, S., Lichtenthaler, J., Lopez, G., Pezuela, C., State of the art concerning business models for systems comprising open source software (2007) QualiPSo Deliverable; Daffara, C., Business models in FLOSS-based companies (2007) Conference on Open Source Systems (OSS) Workshops; Lakka, S., Stamati, T., Michalakelis, C., Martakos, D., The ontology of the OSS business model: An exploratory study (2011) Int. J. Open Sourc. Softw. Process., 3, pp. 39-59; Osterwalder, A., (2004) The Business Model Ontology - A Proposition in A Design Science Approach, , PhD Dissertation University of Lausanne; Osterwalder, A., Pigneur, Y., Tucci, C., Clarifying business models (2005) Origins, Present and Future of the Concept, 15. , Communications of the Association for information Systems; Chang, V., Mills, H., Newhouse, S., From open source to long-term sustainability: Review of business models and case studies (2007) All Hands Meeting, , OMII-UK Workshop; Daffara, C., Business models in FLOSS-based companies (2007) Open-Source Software in Economic and Managerial Perspective (OSSEMP); Dornan, A., The five open source business models (2008) Information Week; Yu, E., (1995) Modelling Strategic Relationships for Process Reengineering, , PhD. thesis (Toronto); Franch, X., Susi, A., Annosi, M.C., Ayala, C.P., Glott, R., Gross, D., Kenett, R.S., Siena, A., Managing risk in open source software adoption (2013) International Joint Conference on Software Technologies (ICSOFT), pp. 258-264; Kitchenham, B., Guidelines for performing systematic literature reviews in software engineering v2.3 (2007) EBSE Technical Report EBSE-2007-01; Ayala, C., López, L., D1.3 Modeling Support (consolidated version) (2014) Technical Report, RISCOSS FP7 Project; Ankolekar, A., Sycara, K., Herbsleb, J., Kraut, R., Welty, C., Supporting online problem-solving communities with the semantic web (2006) International Conference on World Wide Web (WWW), pp. 575-584; Simmons, G.L., Dillon, T.S., Towards an ontology for open source software development (2006) International Conference on Open Source Systems (OSS), pp. 65-75; Dillon, T.S., Simmons, G.L., Semantic web support for open-source software development (2008) Signal Image Technology and Internet Based Systems International Conference (SITIS), pp. 606-613; Mirbel, I., OFLOSSC, an ontology for supporting open source development communities (2009) International Conference on Enterprise Information Systems (ICEIS), pp. 47-52; Franch, X., On the lightweight Use of goal-oriented models for software package selection (2005) International Conference on Advanced Information Systems Engineering (CAiSE), pp. 551-566; Rolland, C., Requirements engineering for COTS based systems (1999) Int. J. Inf. Softw. Technol., 41 (14), pp. 985-990; Soffer, P., Golany, B., Dori, D., Aligning an ERP system with enterprise requirements (2005) An Object-process Based Approach, 56, pp. 639-662. , Computers in Industry; López, L., Franch, X., Marco, J., Specialization in i∗strategic rationale diagrams (2012) International Conference on Conceptual Modelling (ER), pp. 267-281; López, L., Costal, D., Ayala, C.P., Franch, X., Glott, R., Haaland, K., Modelling and applying OSS adoption strategies (2014) International Conference on Conceptual Modelling (ER), pp. 349-362
PY - 2015
Y1 - 2015
N2 - Open Source Software (OSS) has become a strategic asset for a number of reasons, such as short time-to-market software delivery, reduced development and maintenance costs, and its customization capabilities. Therefore, organizations are increasingly becoming OSS adopters, either as a result of a strategic decision or because it is almost unavoidable nowadays, given the fact that most commercial software also relies at some extent in OSS infrastructure. The way in which organizations adopt OSS affects and shapes their businesses. Therefore, knowing the impact of different OSS adoption strategies in the context of an organization may help improving the processes undertaken inside this organization and ultimately pave the road to strategic moves. In this paper, we propose to model OSS adoption strategies using a goal-oriented notation, in which different actors state their objectives and dependencies on each other. These models describe the consequences of adopting one such strategy or another: which are the strategic and operational goals that are supported, which are the resources that emerge, etc. The models rely on an OSS ontology, built upon a systematic literature review, which comprises the activities and resources that characterize these strategies. Different OSS adoption strategy models arrange these ontology elements in diverse ways. In order to assess which is the OSS adoption strategy that better fits the organization needs, the notion of model coverage is introduced, which allows to measure the degree of concordance among every strategy with the model of the organization by comparing the respective models. The approach is illustrated with an example of application in a big telecommunications company.
AB - Open Source Software (OSS) has become a strategic asset for a number of reasons, such as short time-to-market software delivery, reduced development and maintenance costs, and its customization capabilities. Therefore, organizations are increasingly becoming OSS adopters, either as a result of a strategic decision or because it is almost unavoidable nowadays, given the fact that most commercial software also relies at some extent in OSS infrastructure. The way in which organizations adopt OSS affects and shapes their businesses. Therefore, knowing the impact of different OSS adoption strategies in the context of an organization may help improving the processes undertaken inside this organization and ultimately pave the road to strategic moves. In this paper, we propose to model OSS adoption strategies using a goal-oriented notation, in which different actors state their objectives and dependencies on each other. These models describe the consequences of adopting one such strategy or another: which are the strategic and operational goals that are supported, which are the resources that emerge, etc. The models rely on an OSS ontology, built upon a systematic literature review, which comprises the activities and resources that characterize these strategies. Different OSS adoption strategy models arrange these ontology elements in diverse ways. In order to assess which is the OSS adoption strategy that better fits the organization needs, the notion of model coverage is introduced, which allows to measure the degree of concordance among every strategy with the model of the organization by comparing the respective models. The approach is illustrated with an example of application in a big telecommunications company.
KW - Conceptual modelling
KW - i-star
KW - Ontologies
KW - Open Source Software
KW - OSS adoption
KW - Computer software
KW - Ontology
KW - Open systems
KW - Software engineering
KW - Commercial software
KW - Goal-oriented approach
KW - Maintenance cost
KW - Strategic decisions
KW - Systematic literature review
KW - Time to market
KW - Open source software
U2 - 10.1016/j.datak.2015.06.007
DO - 10.1016/j.datak.2015.06.007
M3 - Article
SN - 0169-023X
VL - 99
SP - 17
EP - 38
JO - Data & Knowledge Engineering
JF - Data & Knowledge Engineering
ER -