Measurements in the Early Stage Software Start-ups: A Multiple Case Study in a Nascent Ecosystem

Author:

Kamulegeya Grace1,Mugwanya Raymond1,Hebig Regina2

Affiliation:

1. College of Computing , Makerere University , Kampala , Uganda

2. Chalmers—Gothenburg University , Gothenburg , Sweden

Abstract

Abstract Context: Software measurement is crucial to stay competitive and deliver quality software products. Problem: While much research has been done on measurement in large companies in developed countries, there is limited research on measurement in start-ups. So far there are no studies on whether these results apply to nascent ecosystems, such as those in East Africa. Goal: The aim of this study is to understand the use and perceived benefits of measurement in software start-ups in East Africa. Method: We performed a multi-case study on 19 software start-ups in hubs in Uganda and Kenya, through conducting semi-structured interviews. We transcribed and analyzed them using the content analysis technique. Results: We identified that start-ups are using a number of business and product-oriented metrics. Furthermore, we found no evidence on the use of design-oriented metrics. Nonetheless, start-ups have considerable expectations on the benefits of measuring. Finally, metrics found in this study partially differ from metrics used in start-ups in developed countries. Conclusion: There is a need to create a more inclusive characterization for measurement as early start-ups in East Africa cannot yet be represented with known models.

Publisher

Walter de Gruyter GmbH

Reference31 articles.

1. [1] Abran A. Software metrics and software metrology. John Wiley & Sons, 2010.

2. [2] Albrecht A. J. and Gaffney J. E. Software function, source lines of code, and development e ort prediction: a software science validation. IEEE transactions on software engineering, (6):639–648, 1983.

3. [3] Bajwa S. S., Gencel C., and Abrahamsson P. Software product size measurement methods. In Proceedings of International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement, IWSM-Mensura, volume 14, pages 176–190.

4. [4] Bhattacharyya G. K. and Johnson R. A. Statistical methods and concepts, 1977.

5. [5] Chorev S. and Anderson A. R. Success in israeli high-tech start-ups; critical factors and process. Technovation, 26(2):162–174, 2006.

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