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Assessing Job Satisfaction of Software Engineers Using GQM Approach

机译:使用GQM方法评估软件工程师的工作满意度

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In this study, the Goals Questions Metrics (GQM) approach was utilized to analyze the relationship between lifestyle and software process-oriented factors and the job satisfaction level of Software Engineers. The author organized the questionnaire that included questions addressing all the metrics identified during GQM activities. Gathered metrics are analyzed on being correlated with workplace contentment of survived developers. The author found ten statistically significant factors on a confidence interval of 95%. Those are age, deadline pressure, personality, an average number of lines of code contributed to a project weekly, relationships with peer colleagues and management, an intensity of interaction with customers, sleep duration, quality of working environment, and prevalence of agile methods in the development process in a company. However, a number of factors, that are generally believed to influence job satisfaction, were found to be insignificant. Overtime working, project criticality were demonstrated to have no considerable effect on job satisfaction. Multivariate regression was employed to build the model to recognize what metrics are the most important to assess workplace contentment. The author shows that depending on included factors it is possible to achieve R-square of 59-89%.
机译:在这项研究中,使用了目标问题度量标准(GQM)方法来分析生活方式和面向软件过程的因素与软件工程师的工作满意度之间的关系。作者组织了调查问卷,其中包括解决GQM活动中确定的所有指标的问题。分析收集的指标是否与幸存的开发人员的工作场所满意度相关。作者在95%的置信区间上发现了10个具有统计学意义的因素。这些因素包括年龄,截止日期压力,个性,每周为项目贡献的平均代码行数,与同事和管理层的关系,与客户互动的强度,睡眠时间,工作环境的质量以及敏捷方法的普及公司的发展过程。但是,发现通常认为会影响工作满意度的许多因素无关紧要。事实证明,加班工作,项目关键性对工作满意度没有显着影响。采用多元回归来建立模型,以识别哪些指标对评估工作场所的满意度最为重要。作者表明,根据所包含的因素,有可能实现59-89%的R平方。

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