The innovation dynamics of programming technologies
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View abstract on PubMed
Summary
This summary is machine-generated.New programming technologies rise by supplementing existing ones, not complementing them. This trend, observed on Stack Overflow, highlights creative destruction in software development.
Area Of Science
- Computer Science
- Software Engineering
- Technology Innovation
Background
- Programming technologies evolve rapidly, but the drivers of their success or failure remain unclear.
- Understanding technology lifecycles is crucial for navigating the dynamic software development landscape.
Purpose Of The Study
- To investigate the factors influencing the rise and fall of programming technologies.
- To analyze how competition impacts technology growth trajectories on Stack Overflow.
Main Methods
- Analysis of tag usage data from Stack Overflow to build correlation networks.
- Identification of technology clusters representing core computing and application development.
Main Results
- Two distinct technology clusters were identified: core computing (OS, databases, servers) and application development (web frameworks, machine learning).
- Declining technologies are linked to core computing, while emerging technologies are associated with application development.
- Technologies that positively correlate with new tools and negatively with old ones show higher adoption rates.
Conclusions
- Popular, rising programming technologies tend to supplement, rather than complement, existing ones.
- The dynamics of programming technology innovation are shaped by a process akin to creative destruction.
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