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Patterns for Controlling Chaos in a Startup
| Content Provider | ACM Digital Library |
|---|---|
| Author | Eloranta, Veli-Pekka |
| Abstract | A growing trend in industrial software engineering is that new software products and information services are developed under conditions of notable uncertainty. This is especially visible in startup enterprises which aim at new kinds of products and services in rapidly changing social web, where potential customers can quickly adopt new behavior. Special characteristics of the startups are lack of resources and funds, and startups may need to change direction fast. All these affect the software engineering practices used in the startups. Unfortunately almost 90 percent of all startups fail and goes bankrupt. There are probably indefinite numbers of reasons why startups fail. Failure might be caused by wrongly chosen software engineering practices or inconsiderate decision making. While there is no recipe for success, we argue that good practices that can help on the way to success can be identified from successful startups. In this paper, we present two patterns that startups can consider when entering the growth phase of the lifecycle. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450326605 |
| DOI | 10.1145/2676680.2676682 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-04-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Start-up Lean start-up Patterns Organizational patterns Software engineering |
| Content Type | Text |
| Resource Type | Article |