We present a conceptual framework for the validation of behavioral models and the prediction information derived from them. The setting for this work is a modern product development environment in which design is performed by teams of specialists who exchange information and knowledge. This setting makes validation responsibilities ambiguous and separates users from knowledge relevant to valida...

In the software measurement validations, assessing the validation of software metrics in software engineering is a very difficult task due to lack of theoretical methodology and empirical methodology [41, 44, 45]. During recent years, there have been a number of researchers addressing the issue of validating software metrics. At present, software metrics are validated theoretically using proper...

Suppose that, for a learning task, we have to select one hypothesis out of a set of hypotheses (that may, for example, have been generated by multiple applications of a randomized learning algorithm). A common approach is to evaluate each hypothesis in the set on some previously unseen cross-validation data, and then to select the hypothesis that had the lowest cross-validation error. But when ...

NASA is developing a Ground Validation System (GVS) as one of its contributions to the Global Precipitation Mission (GPM). The GPM GVS provides an independent means for evaluation, diagnosis, and ultimately improvement of GPM spaceborne measurements and precipitation products. NASA's GPM GVS consists of three elements: field campaignslphysical validation, direct network validation, and modeling...

This paper addresses the methodological problems of empirical validation in agentbased (AB) economics models and how these are currently being tackled. We first identify a set of issues that are common to all modellers engaged in empirical validation. We then propose a novel taxonomy, which captures the relevant dimensions along which AB economics models differ. We argue that these dimensions a...

Most of the existing model verification and validation techniques are largely used in the industrial and system engineering fields. The agent-based modeling approach is different from traditional equation-based modeling approach in many aspects. As the agent-based modeling approach has recently become an attractive and efficient way for modeling large-scale complex systems, there are few formal...

This paper proposes a set of definitions for the concepts "validation" and "assessment" applied to expert systems (ESs). It develops a framework for this validation and demonstrates the framework on existing accounting and auditing ESs to elicit some of the research issues involved in ES validation. Validation is critical to the design and implementation of decision-making ESs. In a setting whe...

Context: Software Product Line Engineering (SPLE) has emerged as a thriving approach for software products constructions. In SPLE, a triumphant software product is highly reliant on the validity of an SPLE. Hence, validation is a significant process within SPLE. Objective: In this paper, we reviewed the related works in the area of automated validation of SPLE to bring to light the pros and con...