Computer Science Paper Generator - Or how to write a white paper in 15 seconds or less...

SCIgen - An Automatic CS Paper Generator

"SCIgen is a program that generates random Computer Science research papers, including graphs, figures, and citations. It uses a hand-written context-free grammar to form all elements of the papers. Our aim here is to maximize amusement, rather than coherence.

One useful purpose for such a program is to auto-generate submissions to conferences that you suspect might have very low submission standards. A prime example, which you may recognize from spam in your inbox, is SCI/IIIS and its dozens of co-located conferences (check out the very broad conference description on the WMSCI 2005 website). There's also a list of known bogus conferences. Using SCIgen to generate submissions for conferences like this gives us pleasure to no end. In fact, one of our papers was accepted to SCI 2005! See Examples for more details.

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This gave me a good laugh...

In15 seconds or less, entering just your, or any, name, you can generate a CS paper that turns your brain to mush so quickly you'll almost accept it as a real paper (and some have accepted such papers as real...).

For example, here's my paper on "Construction of Link-Level Acknowledgements";

"Recent advances in collaborative information and adaptive technology are based entirely on the assumption that robots and the Internet are not in conflict with web browsers. After years of significant research into Scheme, we demonstrate the investigation of the partition table. Our focus in this paper is not on whether context-free grammar and evolutionary programming can cooperate to address this quandary, but rather on constructing an analysis of digital-to-analog converters (BOTS)."

Or my "OnyJub: A Methodology for the Construction of the Turing Machine" paper;

"The investigation of Moore's Law has developed B-trees, and current trends suggest that the emulation of redundancy will soon emerge. In this work, we confirm the refinement of e-business, which embodies the confusing principles of reliable artificial intelligence. In this work we disconfirm not only that the well-known heterogeneous algorithm for the study of Markov models by M. Sasaki et al. runs in W(2ⁿ) time, but that the same is true for simulated annealing"

And those are just the abstracts... the entire paper, with graphs and everything, read like this.

LOL...

(via Software architecture, software engineering, and Renaissance Jazz [Grady Booch] - Paper Generator)