27,916 research outputs found
Using Quantitative Methods as Support for Audit of the Distributed Informatics Systems
This paper highlights some issues regarding how an indicators system must be developed and used in an audit process. Distributed systems are presented from de points of view of their main properties, architectures, applications, software quality characteristics and the scope of audit process in such systems. The audit process is defined in accordance to standard ISO 19011 and the main characteristics of this process are highlighted. Before using quantitative methods in audit processes, the framework in which the indicators are built must be defined. There are presented types of indicators used in audit process and classes of measurement scale. An audit process is carried out on different levels and support indicators must be in accordance to audit object. The paper presents some requirements of the indicators depending on the level of audit.Quantitative Methods, Audit Process, Distributed Informatics System
Double Whammy - How ICT Projects are Fooled by Randomness and Screwed by Political Intent
The cost-benefit analysis formulates the holy trinity of objectives of
project management - cost, schedule, and benefits. As our previous research has
shown, ICT projects deviate from their initial cost estimate by more than 10%
in 8 out of 10 cases. Academic research has argued that Optimism Bias and Black
Swan Blindness cause forecasts to fall short of actual costs. Firstly, optimism
bias has been linked to effects of deception and delusion, which is caused by
taking the inside-view and ignoring distributional information when making
decisions. Secondly, we argued before that Black Swan Blindness makes
decision-makers ignore outlying events even if decisions and judgements are
based on the outside view. Using a sample of 1,471 ICT projects with a total
value of USD 241 billion - we answer the question: Can we show the different
effects of Normal Performance, Delusion, and Deception? We calculated the
cumulative distribution function (CDF) of (actual-forecast)/forecast. Our
results show that the CDF changes at two tipping points - the first one
transforms an exponential function into a Gaussian bell curve. The second
tipping point transforms the bell curve into a power law distribution with the
power of 2. We argue that these results show that project performance up to the
first tipping point is politically motivated and project performance above the
second tipping point indicates that project managers and decision-makers are
fooled by random outliers, because they are blind to thick tails. We then show
that Black Swan ICT projects are a significant source of uncertainty to an
organisation and that management needs to be aware of
Greening information management: final report
As the recent JISC report on âthe âgreeningâ of ICT in education [1] highlights, the increasing reliance on ICT to underpin the business functions of higher education institutions has a heavy environmental impact, due mainly to the consumption of electricity to run computers and to cool data centres. While work is already under way to investigate how more energy efficient ICT can be introduced, to date there has been much less focus on the potential environmental benefits to be accrued from reducing the demand âat sourceâ through better data and information management. JISC thus commissioned the University of Strathclyde to undertake a study to gather evidence that establishes the efficacy of using information management options as components of Green ICT strategies within UK Higher Education environments, and to highlight existing practices which have the potential for wider replication
A Framework to Evaluate Software Developerâs Productivity The VALORTIA Project
Currently, there is a lack in companies developing software in relation to assessing their staffâs productivity
before executing software projects, with the aim of improving effectiveness and efficiency. QuEF (Quality
Evaluation Framework) is a framework that allows defining quality management tasks based on a model.
The main purpose of this framework is twofold: improve an entityâs continuous quality, and given a context,
decide between a set of entityâs instances on the most appropriate one. Thus, the aim of this paper is to
make this framework available to evaluate productivity of professionals along software development and
select the most appropriate experts to implement the suggested project. For this goal, Valortia platform,
capable of carrying out this task by following the QuEF framework guidelines, is designed. Valortia is a
platform to certify users' knowledge on a specific area and centralize all certification management in its
model by means of providing protocols and methods for a suitable management, improving efficiency and
effectiveness, reducing cost and ensuring continuous quality.Ministerio de Ciencia e InnovaciĂłn TIN2013-46928-C3-3-
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Managing knowledge in the context of sustainable construction
The 21st century has been a growing awareness of the importance of the sustainability agenda. Moreover for construction, it has become increasingly important as clients are pushing for a more sustainable product to complement their organisationsâ own strategic plans. Sustainable development can be defined as development that meets the needs of the present without compromising the ability of future generations to meet their needs. Sustainable construction is therefore seen as the application of sustainable practices to the activities of the construction sector. One of the key factors in making construction projects more sustainable is overcoming the obstacles of capturing and managing the knowledge required by project teams to effect such change. Managing this knowledge is key to the construction industry because of the unique characteristics of its projects, i.e. multi-disciplinary teams, dynamic participation of team members, heavy reliance on previous experiences/heuristics, the one-off nature of the projects, tight schedules, limited budget, etc. Initiatives within the industry and academic research are developing mechanisms and tools for managing knowledge in construction firms and projects. Such work has so far addressed the issues of capturing, storing, and transferring knowledge
Sociologyâs Rhythms: Temporal Dimensions of Knowledge Production
From the temporal perspective, this article examines shifts in the productionof sociological knowledge. It identifies two kinds of rhythms of sociology: 1) that of sociological standpoints and techniques of investigation and 2) that of contemporary academic life and culture. The article begins by discussing some of the existing research strategies designed to "chase"high-speed society. Some, predominantly methodological, currents are explored and contrasted with the "slow" instruments of sociological analysis composed of different, yet complementary, modes of inquiry. Against this background, the article stresses that it is through the tension between fast and slow modes of inquiry that sociology reproduces itself. The subsequent part explores the subjective temporal experience in contemporary academia. It is argued that increasing administration and auditing of intellectual work significantly coshapes sociological knowledge production not only by requiring academics to work faster due to an increasing volume of tasks, but also by normalizing time-pressure.The article concludes by considering the problem as to whether the increasing pace of contemporary academic life has detrimental consequences for the more organic reproductive rhythms of sociology
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