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A method to estimate software strategic indicators in software development: An industrial application
dc.contributor.author | Manzano Aguilar, Martí |
dc.contributor.author | Ayala Martínez, Claudia Patricia |
dc.contributor.author | Gómez Seoane, Cristina |
dc.contributor.author | Abhervé, Antonin |
dc.contributor.author | Franch Gutiérrez, Javier |
dc.contributor.author | Mendes, Emilia |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2020-12-22T10:10:22Z |
dc.date.available | 2022-09-22T00:25:55Z |
dc.date.issued | 2021-01 |
dc.identifier.citation | Manzano, M. [et al.]. A method to estimate software strategic indicators in software development: An industrial application. "Information and software technology", 2021, vol. 129, article 106433, p. 1-18. |
dc.identifier.issn | 0950-5849 |
dc.identifier.uri | http://hdl.handle.net/2117/334763 |
dc.description.abstract | Context: Exploiting software development related data from software-development intensive organizations to support tactical and strategic decision making is a challenge. Combining data-driven approaches with expert knowledge has been highlighted as a sensible approach for leading software-development intensive organizations to rightful decision-making improvements. However, most of the existing proposals lack of important aspects that hinders their industrial uptake such as: customization guidelines to fit the proposals to other contexts and/or automatic or semi-automatic data collection support for putting them forward in a real organization. As a result, existing proposals are rarely used in the industrial context. Objective: Support software-development intensive organizations with guidance and tools for exploiting software development related data and expert knowledge to improve their decision making. Method: We have developed a novel method called SESSI (Specification and Estimation of Software Strategic Indicators) that was articulated from industrial experiences with Nokia, Bittium, Softeam and iTTi in the context of Q-Rapids European project following a design science approach. As part of the industrial summative evaluation, we performed the first case study focused on the application of the method. Results: We detail the phases and steps of the SESSI method and illustrate its application in the development of ModelioNG, a software product of Modeliosoft development firm. Conclusion: The application of the SESSI method in the context of ModelioNG case study has provided us with useful feedback to improve the method and has evidenced that applying the method was feasible in this context. |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Economy and Competitiveness (project GENESIS, grant agreement TIN2016-79269- R), and by the European Union’s Horizon 2020 research and innovation program (Q-Rapids project, grant agreement N◦732253). |
dc.format.extent | 18 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights | ©2020 Elsevier |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Enginyeria del software |
dc.subject.lcsh | Computer software -- Development |
dc.subject.lcsh | Decision making |
dc.subject.other | Software strategic indicator |
dc.subject.other | Decision-making support |
dc.subject.other | Estimation model |
dc.subject.other | Design science |
dc.subject.other | Case study |
dc.title | A method to estimate software strategic indicators in software development: An industrial application |
dc.type | Article |
dc.subject.lemac | Programari -- Desenvolupament |
dc.subject.lemac | Decisió, Presa de |
dc.contributor.group | Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering |
dc.identifier.doi | 10.1016/j.infsof.2020.106433 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www,sciencedirect.com/science/article/pii/S0950584920301890 |
dc.rights.access | Open Access |
local.identifier.drac | 30018806 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/732253/EU/Quality-Aware Rapid Software Development/Q-RAPIDS |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/TIN2016-79269-R |
local.citation.author | Manzano, M.; Ayala, C.P.; Gómez, C.; Abhervé, A.; Franch, X.; Mendes, E. |
local.citation.publicationName | Information and software technology |
local.citation.volume | 129 |
local.citation.number | article 106433 |
local.citation.startingPage | 1 |
local.citation.endingPage | 18 |
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