Results 131 to 140 of about 796 (174)

Loss of Inhibin Negative Feedback to Pituitary Gonadotropes Leads to Enhanced Ovulation but Pregnancy Failure in Mice.

Endocrinology
Lin YF, Brûlé E, Ongaro L, Zhou X, Jin Y, Schultz H, Cowan M, Stouffer DG, Yaman A, Auchus RJ, Boehm U, Bernard DJ.   +11 more
europepmc   +1 more source

GH-Releasing Hormone Neurons Regulate the Hypothalamic-Pituitary-Somatotropic Axis via Short-Loop Negative Feedback.

Endocrinology
Gusmao DO, de Sousa ME, de Sousa LMM, Silva JN, Frazao R, List EO, Kopchick JJ, Donato J.   +7 more
europepmc   +1 more source

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NHPP software reliability and cost models with testing coverage

European Journal of Operational Research, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hoang Pham
exaly   +3 more sources

Testing the Existence of Change-Point in NHPP Software Reliability Models

Communications in Statistics Part B: Simulation and Computation, 2007
In the software testing process, the nature of the failure data is affected by many factors, such as the testing environment, testing strategy, and resource allocation. These factors are unlikely to all be kept stable during the entire process of software testing.
Jin Zhao, Jinde Wang
exaly   +2 more sources

Non-parametric Estimation for NHPP Software Reliability Models

Journal of Applied Statistics, 2007
Abstract The non-homogeneous Poisson process (NHPP) model is a very important class of software reliability models and is widely used in software reliability engineering. NHPPs are characterized by their intensity functions. In the literature it is usually assumed that the functional forms of the intensity functions are known and only some parameters ...
Zhiguo Wang, Jinde Wang, Xue Liang
exaly   +2 more sources

Estimating parameters of Ohba three-parameters NHPP Models

2011 International Conference on Computer Science and Service System (CSSS), 2011
Ohba NHPP models are wide used to discuss the software reliability. We present the necessary & sufficient conditions for the likelihood estimates to be finite, positive, and unique. Results are given for either grouped failure data or ungrouped failure data. we easily apply these results to original G-O model.
null Yang Zhihong, null Liu Cihua
exaly   +2 more sources

A NHPP-Based Reliability Model of Wireless Sensor Networks

Applied Mechanics and Materials, 2014
As the Wireless Sensor Networks (WSNs) are widely applied to various fields recent years, the quality of WSN has been increasingly concerned. Since reliability is the most important factor of quality, how to evaluate reliability of WSN through failure counting is our main subject.
Yang Jian Feng
exaly   +2 more sources

An Imperfect SRGM based on NHPP

2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021
SRGMs (Software Reliability Growth Models) are the probabilistic and statistical models widely used to evaluate software reliability. They explain how the reliability of the software varies over time by investigating failure data as the testing progresses. The paper presents a new SRGM in an imperfect debugging environment. The proposed model considers
Md. Asraful Haque, Nesar Ahmad
openaire   +1 more source

AN NHPP SOFTWARE RELIABILITY MODEL AND ITS COMPARISON

International Journal of Reliability, Quality and Safety Engineering, 1997
In this paper, software reliability models based on a nonhomogeneous Poisson process (NHPP) are summarized. A new model based on NHPP is presented. All models are applied to two widely used data sets. It can be shown that for the failure data used here, the new model fits and predicts much better than the existing models. A software program is written,
Hoang Pham, Xuemei Zhang
openaire   +1 more source

An NHPP SRGM with Change Point and Multiple Releases

International Journal of Information Systems in the Service Sector, 2016
In an environment of intense competition, software upgrades have become the necessity for the survival in software industry. In this paper, the authors propose a discrete Software Reliability Growth Model (SRGM) for the software with successive releases by taking into consideration the realistic assumption that Fault Removal Rate (FRR) may not remain ...
Abhishek Tandon, Anu G. Aggarwal 0001, Nidhi Nijhawan   +2 more
openaire   +1 more source