H. Ziv and D. J. Richardson. Bayesian-network confirmation of software testing uncertainties. Technical Report. University of California, Irvine, California, 1997. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Adding Uncertainty to Hypertext Models of Software Systems - Ziv, Richardson Self-citation (Ziv Richardson) (Correct)
....not to mention relationships, are either undocumented, poorly archived, or simply gone. ffl Hypertext cannot magically eliminate software complexities. Rather, complexity is generally considered an inherent and essential property of software development, for which no silver bullet exists [Bro87, ZR97]. Though hypertext offers a conceptual metaphor accompanied by useful tools, its benefits, as well as unforeseen perils, are yet to be evaluated in practice. We are especially concerned regarding the hypertext navigation problem known as lost in hyperspace. According to Nielsen, users experience ....
....is fraught with uncertainties, which are intimately tied to its complexities. Software uncertainties may lead to software risks, maintenance nightmares, symptoms of the software crisis, and to software related accidents. ffl We proposed the Maxim of Uncertainty in Software Engineering (MUSE) [ZR97], stating that uncertainty is inherent and inevitable in software development processes and products. ffl We also proposed, as a corollary to MUSE, that software uncertainties should be modeled and managed explicitly. We also suggested that a particular technique for uncertainty modeling, called ....
[Article contains additional citation context not shown here]
Hadar Ziv and Debra J. Richardson. Bayesian-network confirmation of software testing uncertainties. Technical report, University of California, Irvine, January 1997. submitted to ESEC/FSE'97. 4
Constructing Bayesian-network Models of Software Testing and.. - Ziv, Richardson (1997) (2 citations) Self-citation (Ziv Richardson) (Correct)
....would benefit immensely from explicit modeling of their confidences in software artifacts. Since confidences decrease and increase due to uncertainties, we propose that developers confidences be captured using techniques for uncertainty modeling. This proposal follows an earlier observation [ZR97a] that software uncertainties exist, are ubiquitous, are relevant to development steps and process decisions, yet surprisingly are seldom managed and modeled. Our approach calls for software uncertainties to be captured as probability values, using an uncertainty modeling technique known as ....
....models of software systems. 2 Software Engineering Uncertainties Here, we present three aspects of software uncertainty deemed most pertinent to this paper, namely categories of applying uncertainty modeling, requirements analysis uncertainty, and testing uncertainty. The reader is referred to [ZR97a] for many additional details. 2.1 Uncertainty Modeling in Software Engineering In [ZR97a] we claim that uncertainty abounds in software development, stated succinctly as the Maxim of Uncertainty in Software Engineering (MUSE) Uncertainty is inherent and inevitable in software development ....
[Article contains additional citation context not shown here]
Hadar Ziv and Debra J. Richardson. Bayesian-network confirmation of software testing uncertainties. Technical report, University of California, Irvine, January 1997. submitted to ESEC/FSE'97.
Towards the Application of Classification Techniques to.. - Cheng, Cheung, Tse (2004) (Correct)
No context found.
H. Ziv and D. J. Richardson. Bayesian-network confirmation of software testing uncertainties. Technical Report. University of California, Irvine, California, 1997.
Towards the Application of Classification Techniques to.. - Cheng, Cheung, Tse (2004) (Correct)
No context found.
H. Ziv and D. J. Richardson. Bayesian-network confirmation of software testing uncertainties. Technical Report. University of California, Irvine, California, 1997.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC