How Do Software Startups Approach Experimentation? Empirical Results from a Qualitative Interview Study

被引:28
|
作者
Gutbrod, Matthias [1 ]
Munch, Juergen [1 ]
Tichy, Matthias [2 ]
机构
[1] Reutlingen Univ, Fac Informat, Alteburgstr 150, D-72762 Reutlingen, Germany
[2] Ulm Univ, Inst Software Engn & Programming Languages, Ulm, Germany
关键词
Experimentation; Experiment; Software startups; Lean startup; Minimum viable product;
D O I
10.1007/978-3-319-69926-4_21
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Software startups often make assumptions about the problems and customers they are addressing as well as the market and the solutions they are developing. Testing the right assumptions early is a means to mitigate risks. Approaches such as Lean Startup foster this kind of testing by applying experimentation as part of a constant build-measure-learn feedback loop. The existing research on how software startups approach experimentation is very limited. In this study, we focus on understanding how software startups approach experimentation and identify challenges and advantages with respect to conducting experiments. To achieve this, we conducted a qualitative interview study. The initial results show that startups often spent a disproportionate amount of time focusing on creating solutions without testing critical assumptions. Main reasons are the lack of awareness, that these assumptions can be tested early and a lack of knowledge and support on how to identify, prioritize and test these assumptions. However, startups understand the need for testing risky assumptions and are open to conducting experiments.
引用
收藏
页码:297 / 304
页数:8
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