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Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs

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Published on: August 9, 2024

The innovation dynamics of programming technologies.

Conrad Borchers¹, Fabian Braesemann^2,3,4,5

¹School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

Journal of the Royal Society, Interface

|January 15, 2026

Summary

New programming technologies rise by supplementing existing ones, not complementing them. This trend, observed on Stack Overflow, highlights creative destruction in software development.

Keywords:

complexity science innovation networks software success prediction technology

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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.