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Article Citation - WoS: 20Citation - Scopus: 25A Study on the Key Soft Skills for Successful Participation of Students in Multinational Engineering Education(Tempus Publications, 2017) Fernandez-Sanz, Luis; Teresa Villalba, Maria; Amelio Medina, Jose; Misra, Sanjay; Villalba, Maria Teresa; Medina, José Amelio; Computer EngineeringSoft-skills have proved to be a necessary complement to technical skills in today's multinational workplaces. As universities are facing the challenge of promoting internationalization and mobility in students and teachers, they have to decide how to help their students in developing these skills as well as increase their awareness on the cultural differences in multinational settings. After a long trajectory of participation in multinational educational experiences, the authors launched a survey to check if their previous findings on the preferred soft skills by educational experts and managers still remain valid after 5 years. Another goal of the study was the analysis of the link between preference for specific soft skills and cultural background in each country as characterized by Hofstede's indicators. The data collected from 123 experts from 45 different countries have confirmed the existence of a stable core set of preferred soft skills at global level and also for European countries. Results have also shown links between specific cultural indicators and preference for some soft skills.Article Citation - Scopus: 1Maintaining Software Through Bit-Parallelism and Hashing the Parameterized q-grams(Univ Osijek, Tech Fac, 2012) Prasad, Rajesh; Agarwal, Suneeta; Misra, Sanjay; Sharma, Anuj Kumar; Singh, Alok; Computer EngineeringIn the software maintenance, it is often required to find duplicity present in the codes. Two code fragments are equivalent, if one can be transformed into the other via consistent renaming of identifiers, literals and variables. This equivalency can be detected by parameterized string matching. In this matching, a given pattern is said to match with a substring of the text, if there exists a one-to-one correspondence between symbols of and symbols of. In this paper, we propose an efficient algorithm for this problem by using both the overlapping and non-overlapping q-gram. We show the effect of running time of the algorithm on increasing the duplicity present in the code.Article Citation - WoS: 1Citation - Scopus: 2Potential of Support-Vector Regression for Forecasting Stream Flow(Univ Osijek, Tech Fac, 2014) Radzi, Mohd Rashid Bin Mohd; Shamshirband, Shahaboddin; Aghabozorgi, Saeed; Misra, Sanjay; Akib, Shatirah; Kiah, Laiha Mat; Kiah, Miss Laiha Mat; Computer EngineeringStream flow is an important input for hydrology studies because it determines the water variability and magnitude of a river. Water resources engineering always deals with historical data and tries to estimate the forecasting records in order to give a better prediction for any water resources applications, such as designing the water potential of hydroelectric dams, estimating low flow, and maintaining the water supply. This paper presents three soft-computing approaches for dealing with these issues, i.e. artificial neural networks (ANNs), adaptive-neuro-fuzzy inference systems (ANFISs), and support vector machines (SVMs). Telom River, located in the Cameron Highlands district of Pahang, Malaysia, was used in making the estimation. The Telom River's daily mean discharge records, such as rainfall and river-level data, were used for the period of March 1984-January 2013 for training, testing, and validating the selected models. The SVM approach provided better results than ANFIS and ANNs in estimating the daily mean fluctuation of the stream's flow.Article Citation - WoS: 9Citation - Scopus: 14A Comparative Study of Agile, Component-Based, Aspect-Oriented and Mashup Software Development Methods(Univ Osijek, Tech Fac, 2012) Patel, Ahmed; Seyfi, Ali; Taghavi, Mona; Wills, Christopher; Na, Liu; Latih, Rodziah; Misra, Sanjay; Computer EngineeringThis paper compares Agile Methods, Component-Based Software Engineering (CBSE), Aspect-Oriented Software Development (AOSD) and Mashups as the four most advanced software development methods. These different approaches depend almost totally on their application domain but their usability can be equally applied across domains. The purpose of this comparative analysis is to give a succinct and clear review of these four methodologies. Their definitions, characteristics, advantages and disadvantages are considered and a conceptual mind-map is generated that sets out a foundation to assist in the formulation and design of a possible new integrated software development approach. This includes supportive techniques to benefit from the examined methods' potential advantages for cross-fertilization. It is a basis upon which new thinking may be initiated and further research stimulated in the software engineering subject field.Article Citation - WoS: 21Citation - Scopus: 22A Discussion on the Role of People in Global Software Development(Univ Osijek, Tech Fac, 2013) Misra, Sanjay; Colomo-Palacios, Ricardo; Pusatli, Tolga; Soto-Acosta, Pedro; Computer EngineeringLiterature is producing a considerable amount of papers which focus on the risks, challenges and solutions of global software development (GSD). However, the influence of human factors on the success of GSD projects requires further study. The aim of our paper is twofold. First, to identify the challenges related to the human factors in GSD and, second, to propose the solution(s), which could help in solving or reducing the overall impact of these challenges. The main conclusions of this research can be valuable to organizations that are willing to achieve the quality objectives regarding GSD projects.Article Citation - WoS: 7Citation - Scopus: 10Unified complexity measure: a measure of complexity(Natl Acad Sciences india, 2010) Misra, Sanjay; Akman, Ibrahim; Computer EngineeringThis paper proposes a new complexity metric. The proposed metric is a unified complexity measure (UCM) and includes all major factors responsible for the complexity of a program including cognitive aspects. The applicability of the measure is evaluated through empirical, theoretical and practical validation processes. The test cases and comparative study prove its soundness and robustness.Article Citation - WoS: 11Citation - Scopus: 13Choice Functions for Autonomous Search in Constraint Programming: Ga Vs. Pso(Univ Osijek, Tech Fac, 2013) Soto, Ricardo; Crawford, Broderick; Misra, Sanjay; Palma, Wenceslao; Monfroy, Eric; Castro, Carlos; Paredes, Fernando; Computer EngineeringThe variable and value ordering heuristics are a key element in Constraint Programming. Known together as the enumeration strategy they may have important consequences on the solving process. However, a suitable selection of heuristics is quite hard as their behaviour is complicated to predict. Autonomous search has been recently proposed to handle this concern. The idea is to dynamically replace strategies that exhibit poor performances by more promising ones during the solving process. This replacement is carried out by a choice function, which evaluates a given strategy in a given amount of time via quality indicators. An important phase of this process is performed by an optimizer, which aims at finely tuning the choice function in order to guarantee a precise evaluation of strategies. In this paper we evaluate the performance of two powerful choice functions: the first one supported by a genetic algorithm and the second one by a particle swarm optimizer. We present interesting results and we demonstrate the feasibility of using those optimization techniques for Autonomous Search in a Constraint Programming context.Article Citation - WoS: 17Citation - Scopus: 31Comparative Study of Real Time Machine Learning Models for Stock Prediction Through Streaming Data(Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2020) Behera, Ranjan Kumar; Das, Sushree; Rath, Santanu Kumar; Misra, Sanjay; Damasevicius, Robertas; Computer EngineeringStock prediction is one of the emerging applications in the field of data science which help the companies to make better decision strategy. Machine learning models play a vital role in the field of prediction. In this paper, we have proposed various machine learning models which predicts the stock price from the real-time streaming data. Streaming data has been a potential source for real-time prediction which deals with continuous flow of data having information from various sources like social networking websites, server logs, mobile phone applications, trading floors etc. We have adopted the distributed platform, Spark to analyze the streaming data collected from two different sources as represented in two case studies in this paper. The first case study is based on stock prediction from the historical data collected from Google finance websites through NodeJs and the second one is based on the sentiment analysis of Twitter collected through Twitter API available in Stanford NLP package. Several researches have been made in developing models for stock prediction based on static data. In this work, an effort has been made to develop scalable, fault tolerant models for stock prediction from the real-time streaming data. The Proposed model is based on a distributed architecture known as Lambda architecture. The extensive comparison is made between actual and predicted output for different machine learning models. Support vector regression is found to have better accuracy as compared to other models. The historical data is considered as a ground truth data for validation.Article Citation - WoS: 7Citation - Scopus: 6Present and Future of Web Content Accessibility: an Analysis(Univ Osijek, Tech Fac, 2013) Hilera, Jose R.; Fernandez-Sanz, Luis; Misra, Sanjay; Computer EngineeringThe Web was created as a universal network of knowledge. It represented a huge qualitative and quantitative leap in terms of acquisition and processing of information. However, even today, significant barriers make difficult the access of a large number of citizens to the web, including disabled users and old people with diminished skills as an effect of age. Accessibility is the feature which facilitates access to and successful usage of a web site or service for as many people as possible, regardless of their personal limitations or limitations imposed by their environment. This article reviews the main aspects of web accessibility and its future, passing through the effective implementation of guidelines known as 2.0, which ensure compliance with existing legislation at national and international level.Article Citation - WoS: 3Citation - Scopus: 3The Impact of Cognitive and Socio-Demographic Factors at Meetings During Software Development Process(Univ Osijek, Tech Fac, 2011) Akman, Ibrahim; Misra, Sanjay; Altindag, Tugba; Computer EngineeringMost of the important decisions are taken at team meetings during software development process (SDP) and the way of thinking of project leader plays an important role in achieving quality objectives at these team meetings. Considering this important issue, this paper investigates the impact of cognitive and socio-demographic factors on manager's simple thinking style towards improving the quality of team meetings in SDP. We have performed experimentations among Information and Communication Technologies' (ICT) senior professionals and managers from government and private sector organizations for this purpose. The hypotheses have been developed under different empirical categories and then statistical analysis techniques have been used to draw inferences. The results indicate that "type of team meetings", "project leader's cognitive characteristics" and "adoption of a cognitive model at team meetings" have statistically significant impact on manager's simple thinking in terms of improving productivity and contribution of team meetings.
