University of Oulu

Mendes, E., Rodriguez, P., Freitas, V. et al. Software Qual J (2018) 26: 607. https://doi.org/10.1007/s11219-017-9360-z

Towards improving decision making and estimating the value of decisions in value-based software engineering : the VALUE framework

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Author: Mendes, Emilia1,2; Rodriguez, Pilar1; Freitas, Vitor1;
Organizations: 1University of Oulu
2Blekinge Institute of Technology
3University of Cambridge
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018082033781
Language: English
Published: Springer Nature, 2018
Publish Date: 2018-08-20
Description:

Abstract

To sustain growth, maintain competitive advantage and to innovate, companies must make a paradigm shift in which both short- and long-term value aspects are employed to guide their decision-making. Such need is clearly pressing in innovative industries, such as ICT, and is also the core of Value-based Software Engineering (VBSE). The goal of this paper is to detail a framework called VALUE—improving decision-making relating to software-intensive products and services development—and to show its application in practice to a large ICT company in Finland. The VALUE framework includes a mixed-methods approach, as follows: to elicit key stakeholders’ tacit knowledge regarding factors used during a decision-making process, either transcripts from interviews with key stakeholders are analysed and validated in focus group meetings or focus-group meeting(s) are directly applied. These value factors are later used as input to a Web-based tool (Value tool) employed to support decision making. This tool was co-created with four industrial partners in this research via a design science approach that includes several case studies and focus-group meetings. Later, data on key stakeholders’ decisions gathered using the Value tool, plus additional input from key stakeholders, are used, in combination with the Expert-based Knowledge Engineering of Bayesian Network (EKEBN) process, coupled with the weighed sum algorithm (WSA) method, to build and validate a company-specific value estimation model. The application of our proposed framework to a real case, as part of an ongoing collaboration with a large software company (company A), is presented herein. Further, we also provide a detailed example, partially using real data on decisions, of a value estimation Bayesian network (BN) model for company A. This paper presents some empirical results from applying the VALUE Framework to a large ICT company; those relate to eliciting key stakeholders’ tacit knowledge, which is later used as input to a pilot study where these stakeholders employ the Value tool to select features for one of their company’s chief products. The data on decisions obtained from this pilot study is later applied to a detailed example on building a value estimation BN model for company A. We detail a framework—VALUE framework—to be used to help companies improve their value-based decisions and to go a step further and also estimate the overall value of each decision.

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Series: Software quality journal
ISSN: 0963-9314
ISSN-E: 1573-1367
ISSN-L: 0963-9314
Volume: 26
Issue: 2
Pages: 607 - 656
DOI: 10.1007/s11219-017-9360-z
OADOI: https://oadoi.org/10.1007/s11219-017-9360-z
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is funded by Tekes under the FiDiPro VALUE project.
Copyright information: © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
  https://creativecommons.org/licenses/by/4.0/