Top management support in software cost estimation

Abstract

Purpose – A cost estimate is considered to have a high impact on software project success. Because of this, different methodologies for creating an accurate estimate have been studied over decades. Many methodologies produce accurate results, when used properly. However, software projects still suffer from inaccurate estimates. The disparity may result from organisational hindrances. This paper focuses on top management support (TMS) for software cost estimation (SCE). The purpose of this paper is to identify current practices and attitudes of top management involvement in SCE, and to analyse the relationship between these two and project success. Design/methodology/approach – A list of 16 TMS practices for SCE has been developed. A survey was conducted to capture the frequency of use and the experienced importance of support practices. Data has been collected from 114 software professionals in Finland. Correlations between the frequency of use, attitudes and project success were analysed. Findings – Top management invests a significant amount of attention in SCE. The extent of use and experienced importance do not correlate strongly with each other or project success. Research limitations/implications – The results may lack generalisability. Researchers are encouraged to validate the results with further studies. Practical implications – Software professionals invite senior managers to participate in SCE. A list of practices for participating is provided. Originality/value – This paper suggests a list of 16 TMS practices for SCE. The paper also reports on the extent of use and experienced importance of practices, and the correlations between these two and project success.

Estimation of construction project building cost by back-propagation neural network

“…To achieve the greatest possible profits, construction enterprises pay more and more attention to the control of building costs and try to reduce construction costs, which requires accurate cost estimates (Hashemi et al, 2017). Cost estimation has an important impact on the success of a project (Rahikkala et al, 2015). Traditional cost estimation methods generally have problems such as low accuracy, long estimation time and poor generalization ability.…”