Modularity is a widely advocated strategy for handling complexity in conceptual models. Nevertheless, a systematic literature review revealed that it is not yet entirely clear under which circumstances modularity is most beneficial. Quite the contrary, empirical findings are contradictory, some authors even show that modularity can lead to decreased model understandability. In this work, we dra...

this paper aims to investigate the effect of firm reporting quality, timeliness andquantity for disclosure and reliability of financial reports on the reaction of stockprice delay. statistical population includes 111 active firms in tehran stock exchangeduring 2010-2014 using cochrane method with the confidence level of95%. totally, they were 555 firms-years. in this paper, linear and nonlinear...

The purpose of this study is to use reusability metrics in finding the necessary attributes of reusable software. The most important of them are understandability, adaptability and trustworthiness. The next step is to analyze understandability and adaptability to develop better programming methods. The solution is to develop cohesive components from clear abstractions. The abstractions should b...

Background Face validation in psychometric testing of an instrument was used to identify incomprehensible items and hence increase the validity. However, conventional approach checking understandability older people respondents has its shortcomings. A new face asking for “interpretation” from recommended but lacked empirical research that compared these two approaches. This methodological aimed...

Compared to center-based hemodialysis (HD), peritoneal dialysis (PD) has many advantages among which cost effectiveness and comfort of patients are the most important ones. On the other hand the number of PD patients is so small and even decreasing worldwide due to difficulties of this mode of dialysis. Therefore to encourage dialysis patients to choose PD, health system must provide a proper s...

Despite that formal and informal quality aspects are of significant importance to business process modeling, there is only little empirical work reported on process model quality and its impact factors. In this paper we investigate understandability as a proxy for quality of process models and focus on its relations with personal and model characteristics. We used a questionnaire in classes at ...

It is generally agreed that large process models should be decomposed into subprocesses in order to enhance understandability and maintainability. Accordingly, a number of process decomposition criteria and heuristics have been proposed in the literature. This paper presents a review of the field revealing distinct classes of criteria and heuristics. The study raises the question of how differe...

Although relevance is known to be a multidimensional concept, information retrieval measures mainly consider one dimension of relevance: topicality. In this paper we propose a method to integrate multiple dimensions of relevance in the evaluation of information retrieval systems. This is done within the gain-discount evaluation framework, which underlies measures like rank-biased precision (RBP...

Modularity is a widely advocated strategy for handling complexity in conceptual models. Nevertheless, a systematic literature review revealed that it is not yet entirely clear under which circumstances modularity is most beneficial. Quite the contrary, empirical findings are contradictory, some authors even show that modularity can lead to decreased model understandability. In this work, we dra...