We observe that uncertainty permeates software development but is rarely captured explicitly in software models. We remedy this situation by presenting the Uncertainty Principle in Software Engineering (UPSE), which states that uncertainty is inherent and inevitable in software development processes and products. We present the Bayesian belief networks technique for modeling uncertainty and justify its applicability to software systems. We apply the Bayesian approach to a network of software artifacts developed for an elevator control system. Also, we show that a software ``web'' can be browsed as hypertext. Specifically, we contend that Bayesian uncertainty models can help reduce user disorientation and improve navigation efficiency in large software spaces. Biography Hadar is getting a PhD in Computer Science from the University of California , Irvine, in the area of uncertainty modeling and hypertext navigation for software systems. He also instructs for UC Irvine Extension program in object-oriented analysis and design and in Windows programming using C++ and MFC. He is authoring an upcoming book in Addison-Wesley's MFC book series, entitled ``The Coherent Object Oriented Lifecycle.'' Hadar holds a Bachelor's degree from the Technion in Haifa, Israel, and a Masters degree from UC Irvine, both in Computer Science. Additional information is available on the World Wide Web at http://www.ics.uci.edu/~ziv/
Referent: Dr. Hadar Ziv, University of California, Irvine Zeitpunkt: Freitag, 11. Oktober 1996, 14 Uhr Ort: HS 3 der Universität Klagenfurt