Is there a place for qualitative studies when identifying effort predictors?: a case in web effort estimation
Is there a place for qualitative studies when identifying effort predictors?: a case in web effort estimation
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在确定工作量预测因素时是否可以进行定性研究？：网络工作量估算的一个案例
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
E. Mendes
中科院分区：
文献类型：
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作者：
Olavo Matos;T. Conte;E. Mendes
背景：工作量估计是有效管理Web项目并取得成功的关键。为了正确估计，有必要对影响Web项目工作量估计的因素有广泛的了解。目的：在这项研究中，我们的目标是增加Web工作量估计的理解，通过使用一组因素，确定在文献中沿着与专家的知识，在努力估计。方法：我们从两个不同的来源收集了数据：（a）我们以前的工作，我们应用扎根理论程序，以确定影响Web工作量估计的因素，从Web项目估计专家的角度来看;和（B）系统文献综述（SLR）扩展，其中我们确定了研究论文中报告的因素。我们使用这些来源的定性结果进行比较，并得出影响Web工作估计的因素的结论。结果：我们确定了总共90个因素，影响Web项目的努力估计。从这一组中，30个因素只确定在定性研究与专家的努力估计，不存在于SLR扩展。结论：通过整合在我们的定性研究中发现的因素与工作量估计专家和SLR扩展，我们设法创建一个全面的影响工作量估计的因素列表。此外，这一组可以是一个起点，在努力估计模型的建议。最后，从我们的比较结果可以被认为是一个迹象表明，有必要增加就业的定性研究，以捕捉证据，在软件工程的实践现状。
Background: Effort estimation is the key for efficiently managing Web projects and achieving their success. In order to correctly estimate, it is necessary to have a broad knowledge of the factors that influence effort estimation in Web projects. Aim: In this research we aim to increase the understanding of Web effort estimation by using a set of factors identified in literature along with the knowledge from experts in effort estimation. Method: We have gathered data from two different sources: (a) our previous work, in which we applied Grounded Theory procedures to identify factors that influence Web effort estimation from the point of view of Web project estimation experts; and (b) a Systematic Literature Review (SLR) extension, in which we identified factors reported in research papers. We have used the qualitative results from these sources to make comparisons and draw conclusions on factors affecting Web effort estimation. Results: We identified a total of 90 factors that influence effort estimation in Web projects. From this set, 30 factors were identified only in the qualitative study with experts in effort estimation, not being present in the SLR extension. Conclusions: By integrating the factors found in both our qualitative study with effort estimation experts and the SLR extension, we managed to create a comprehensive list of factors influencing effort estimation. Also, this set can be a starting point in the proposal of effort estimation models. Finally, the results from our comparison can be considered an indication that it is necessary to increase the employment of qualitative research to capture evidences regarding the current state of practice in Software Engineering.