Nov 20, 2019 · This study compares the classification performance of thirteen approaches in terms of predicting firm failure in the US software industry.

Abstract: Firm failure rate in the software industry is significantly higher than other industries. Due to the wide use of software products and services, ...

This study compares the classification performance of thirteen approaches in terms of predicting firm failure in the US software industry. Seven measures are ...

Nov 20, 2019 · This study compares the classification performance of thirteen approaches in terms of predicting firm failure in the US software industry. Seven ...

Almamy J, Aston J, Ngwa LN (2016) An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: ...

This paper introduces an efficient software failure prediction technique using hybrid machine learning algorithms.

How to Predict Project Failure Within The First 10 Days · Incomplete and Ambiguous Requirements · Personnel problems. · Communication Breakdown. · Lack of ...

May 5, 2022 · In this study, we investigate the ability of machine-learning techniques to predict firm failures and we compare them against alternatives.

May 10, 2022 · In this paper we propose a novel machine-learning model to predict project management knowledge areas failure for software companies.

Apr 14, 2010 · We then use the Cox proportional hazard regression technique to relate capabilities and competitive actions to software firms' failure rates.