Abstract
This paper discusses the multi-objective problem of software product (SP) portfolio engineering in the context of limited resources of a small IT company. The authors introduce the following optimality criteria: minimized costs, maximized total profit and market segment attractiveness. The rule for selection of the compromise solution is presented as additive convolution of ratios of target and calculated indicators (costs, profit, attractiveness and number of target segments). The paper presents an example of product portfolio engineering for distribution of the Electronic Timetable software in the market of institutions of secondary specialized and higher education of the Siberian Federal District.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
