A Modified Scrum Story Points Estimation Method Based on Fuzzy Logic Approach
Several known methods allow to estimate the overall effort(s) to be used up for the software development. The approach based on story points is preferable and quite common in the context of Sсrum agile development methodology. However, it might be rather challenging for people, who are new to this methodology or to a specific Scrum team to estimate the amount of work with story points. The proposed approach involves estimation of features on the basis of linguistic terms that are both habitual and clear for everyone. The presented fuzzy inference system (Mamdani’s model) makes it possible to calculate story points using people’s opinions expressed as sentences in natural language – the study shows empirically that beginners to Scrum methodology consider the proposed approach to be more convenient and easier in use than the ‘plain’ story points estimation. Also, four groups of people with different levels of qualification in Scrum were asked to estimate several features of a certain project using the developed approach and common story points approach to prove the relevance of the approach – it was shown that the results of basic story points estimation for Scrum experts differ slightly from the results revealed by proposed approach, while for Scrum beginners such difference is significant.To the opinion of authors, the proposed approach may allow to adapt to Scrum more smoothly, with better understanding of what is implied by story points, grasping the general idea and learning faster their use in practice.
With this paper authors present the formalized approach for managing IS-enabled organizational transformation based on the adaptation of House of Quality technic. The provided approach uses fuzzy sets and multi-criteria decision-making methods to quantify relations between business benefits and organizational change management measures in order to support designing rational set of organizational change management measures during information system implementation project under cost- and time-constraint conditions.
This research aimed to develop of scale for measuring of attitude to opera and ballet theatre. Unlike existing research on aesthetic attitudes, this paper develops scale, measuring attitude to a theatre, but not to its repertoire. The paper considers fashion is the attitude’s dimension and proposes the set of indicators measuring fashion appear in the visitors’ attitude. This study extends existing knowledge about the attitude to high culture institution and answers the question about the effectiveness of the theatre’s marketing communications. Empirical data comes from two research projects consisting of in-depth interviews and surveys. Study 1 aimed to develop the scale based on in-depth interviews, Likert’s procedure, principal component analysis and confirmatory factor analysis. The goal of Study 2 was to evaluate the scale with a bigger sample and to check the scale’s validity. Confirmatory factor analysis reveals a two-dimensioned model of the disposition showing the good fit of the model to empirical data in both studies. The fashion dimension is statistically significant. As a result, a 13-item scale was developed and evaluated, showing the attitude to the theatre divided into two subscales. The first one reflects theatre as a source of personal development, exciting and knowledge. The second one displays the attitude to the theatre’s popularity. The directions of further work are discussed.
Soft Computing (SC) is a consortium of fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC) and parts of machine learning theory (ML). SC is the foundation for computational intelligence and is leading to the development of numerous hybrid intelligent information, control and decision-making systems. The methodology of computing with words (CW) is an important event in the evolution of cognitive science, natural language processing, artificial intelligence, and different existing scientific theories. This is because CW can enrich the existing scientific theories and the above-mentioned science fields giving them the capability of using natural languages to operate on perception-based information, not only measurement-based information. Indeed in many real-world problems in natural sciences as well as in industrial engineering, economics, and business, often there is a need to deal with both perception and measurement based information. In the case of perception based information, the available information is not precise enough to justify the use of numbers. Such information is usually described in natural languages rather than in strict (idealized) mathematical expressions. So a strong need has appeared for a new approach, theory and technology for the development of knowledge representation, computing, and reasoning tools that allow creation of systems with high MIQ. The sessions of the ICSCCW-2011 will focus on the development and application of Soft Computing technology and computing with words paradigm in system analysis, decision and control.
This paper deals with the issues of Russian and international researches in the field of design of information architecture of management systems in the context of spatial economics. At present modern intelligent methods and technologies are essential components for developing management decision process that will enable companies to succeed in a rapidly changing environment. The latest achievements in the field of intelligent technologies in economy and management, including the methods and tools of soft computing are the key factors in improving organizational performance and increasing its competitiveness. The paper is devoted to the study of issues of hybrid intelligent systems and models application to architectural design of management information systems (IS). Fuzzy technologies as technologies of artificial intelligence are having a significant influence on information systems design and analysis. Simultaneously information systems sustainability and adaptiveness are now one of the main drivers of business success. Original contribution of the work is based on the applying of intelligent information technologies and modern modeling methods for creating scoring model of information systems sustainability. It is theoretical and empirical research in equal measure. Research methodology is methods and procedures of modeling. The main purpose of this paper is consideration the features of application of contemporary hybrid intelligent systems and models for spatiotemporal analysis. The paper also contains theoretical foundations of information systems architecture and the brief overview of spatial sciences development in Russia. It does so from a research base that draws from theoretical underpinnings as well as international and domestic industry practices.
The 8th conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-2013, took place in Milan, the industrial and business capital of Italy. The EUSFLAT 2013 Conference was hold at the premises of the University of Milano-Bicocca, Milan, Italy from September 11th to September 13th, 2013. The aim of the conference is to bring together theoreticians and practitioners working on fuzzy logic, fuzzy systems, soft computing and related areas. It provide a platform for the exchange of ideas among scientists, engineers and students.
The way of the automated knowledge control system realization is offered on the basis of such intellectual means as the ontologic approach, fuzzy logic and data mining.
Analysis of existing approaches to the use of intelligent methods for solving the problem of destructive electromagnetic effects’ detection is performed. It is proposed to use an intelligent systems based on neural networks integrated with the means of fuzzy logic to detect the destructive electromagnetic effects on infocommunication system. Such approach will take into account a priori knowledge of subject area experts, and data of experimental studies.
The Seventh International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control aims at the development of Soft Computing and its Application is the Seventh of its kind. These fields have built upon mainly Fuzzy Logic originally introduced by L. Zadeh. Soft Computing (SC) is a consortium of fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC) and parts of machine learning theory (ML). SC is the foundation for computational intelligence and is leading to the development of numerous hybrid intelligent information, control and decision making systems. The methodology of computing with words (CW) is an important event in the evolution of cognitive science, natural language processing, artificial intelligence, and different existing scientific theories. This is because CW can enrich the existing scientific theories and the above-mentioned science fields giving them the capability of using natural languages to operate on perception-based information, not only measurement-based information. Indeed, in many real-world problems in natural sciences as well as in industrial engineering, economics, and business, often there is a need to deal with both perception and measurement based information. In the case of perception based information, the available information is not precise enough to justify the use of numbers. Such information is usually described in natural languages or by means of visual images rather than in strict (idealized) mathematical expressions.So a strong need has appeared for a new approach, theory and technology for the development of knowledge representation, computing, and reasoning tools that allow creation of systems with high MIQ. The sessions of the ICSCCW-2013 will focus on the development and application of Soft Computing technology and computing with words paradigm in system analysis, decision and control.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.
Let G be a semisimple algebraic group whose decomposition into the product of simple components does not contain simple groups of type A, and P⊆G be a parabolic subgroup. Extending the results of Popov , we enumerate all triples (G, P, n) such that (a) there exists an open G-orbit on the multiple flag variety G/P × G/P × . . . × G/P (n factors), (b) the number of G-orbits on the multiple flag variety is finite.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables