FiDiPro Professor Emilia Mendes' presentation on research project "VALUE"

Tuesday, June 2, 2015

Time: 14:00-15:00

Venue: IT 138

Predicting the overall value of decisions relating to software product/project management

by Prof. Emilia Mendes


In today's cutthroat product and services industries, software has become the main driver for competitive advantage, enabling faster and cheaper innovation and product differentiation with no domain restriction. As the size and complexity of software-based solutions increase, so does the impact of software development decisions on the overall product offering. That is, any decision taken regarding software product/project management and development (e.g. what features to design, what level of quality to offer, or which technology to choose) will impact the entire product's/project's life cycle and value, not to mention that it limits future possibilities and direction of both the software and the business.

Numerous companies worldwide deliver software intensive products and services. One of their major challenges is caused by most often taking product/project management decisions considering only the short-term costs (cost estimates) while ignoring long-term value aspects for the business, for example sustainability and innovation. To sustain growth, maintain competitive advantage and to innovate, such companies must make a paradigm shift by also adopting long-term value aspects in order to guide their decision-making.

Such need is clearly pressing in innovative industries, such as ICT and Digital Services. The goal of this talk is to present a value-based software engineering framework, proposed as part of the FiDiPro project VALUE, which enables companies to co-create prediction models to provide estimates of the overall value of decision scenarios relating to software product/project management within the domains of ICT and digital services, and "what-if" scenarios that can be compared and contrasted, thus enabling better decision-making and contributing to enhanced decision makers' mental models (tacit knowledge).


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Last updated: 13.5.2015