#Project turnover definition software#

#Project turnover definition software#

Jiang R (2015) A novel risk metric for staff turnover in a software project based on information entropy. Hussain T (2018) Risk management in software engineering: what still needs to be done. Huang YH, Yi DC, Jie MY (2016) Analysis on the current situation, function and influencing factors of employee flow in small and micro enterprises in China. Hu Y, Zhang XZ, Ngai EWT, Cai RC, Liu M (2013) Software project risk analysis using Bayesian networks with causality constraints. Hom PW, Lee TW, Shaw JD, Hausknecht JP (2017) One hundred years of employee turnover theory and research. He Y, Feng QY (2013) Research on the risk management of the turnover of core staff in state-owned enterprises from the perspective of strategic human resource management. In: International conference on software engineering, Edinburgh, UK, pp 397–406. įenton NE, Marsh W, Neil M, Cates P, Forey S, Tailor M (2004) Making resource decisions for software projects. įang M, Su J, Liu J, Long Y, Wang T (2018) A model to predict employee turnover rate: observing a case study of Chinese enterprises. Įmberland JS, Rundmo T (2010) Implications of job insecurity perceptions and job insecurity responses for psychological well-being, turnover intentions and reported risk behavior. ĭasanayaka RS, Kuruppuge RH (2015) Staff turnover as a strategy of knowledge management: empirical evidence from information technology industry in Sri Lanka. Appl Res Comput 23(2):38–41+59 (in Chinese)Ĭonstantinou E, Mens T (2017) An empirical comparison of developer retention in the RubyGems and npm software ecosystems. Ĭhen R, Xie GG, Zhang DF, Wang RD (2006) Quantitative assessment and analysis of turnover risk on software project. In: Proceedings of the 12th ACM/IEEE international symposium on empirical software engineering and measurement. Ĭhatzipetrou P, Šmite D, Van Solingen R (2018) When and who leaves matters: emerging results from an empirical study of employee turnover. īoehm BW (1991) Software risk management: principles and practices.

Finally, we validated the feasibility and efficacy through a case study.īannerman PL (2008) Risk and risk management in software projects: a reassessment. Moreover, based on the information entropy theory, we established a risk measurement model of TRSD that can be used to measure the risk level of each developer and the holistic risk of ongoing software projects. Additionally, to calculate the extent of loss caused by TRSD, we employed machine learning, natural language processing, and data mining techniques to identify software development activities and establish the importance of developers by mining and analyzing the commit event logs. To tackle this problem, we propose a method to quantify the uncertain risks related to developer turnover, including resignation and replacement. To address this problem, we focus on the uncertainty of turnover risk of software developer (TRSD) and its loss incurred to projects. During the software development life cycle, the turnover of software developers is one of the critical risks that may lead to severe problems (such as postponement and failure of projects), which is often ignored by many professionals.