Exercise 2
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Exercise 2
Large organizations and business enterprises are creating an environment to adopt agile software development to foster increased flexibility and shortened lead times. A multiple case analysis is essential to understand how these organizations implement policies and procedures of automating testing workflows. By concentrating on focus groups, a case study describes how an organization experiments with various cross-component and cross-site teams. Similarly, a sequential case analysis is applicable in determining the challenges faced, the mitigation strategies, and the route towards rapid software engineering.
Case study research requires a researcher to collect and organize multiple evidence sources in a systematic manner that can enable patterns in the data to be uncovered (Paasivaara, 2018). Objects under case studies are observed to identify the causal factors related to the phenomenon under study. Since case study research allows multiple data collection approaches, a researcher is given an opportunity to triangulate data to increase the effectiveness of the findings and the subsequent conclusions (Paasivaara, 2018). The convergence of multiple observations on an aspect increases the confidence in the results.
Reference
Paasivaara, M., Behm, B., Lassenius, C., & Hallikainen, M. (2018). Large-scale agile transformation at Ericsson: a case study. Empirical Software Engineering, 23(5), 2550–2596. https://doi.org/10.1007/s10664-017-9555-8