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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; 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: 1Citation - Scopus: 3Lessons From Intensive Educational Experiences for Ict Students in Multinational Settings(Univ Osijek, Tech Fac, 2017) Fernandez, Luis; Amelio Medina, Jose; Villalba de Benito, Maria Teresa; Misra, SanjayReal internationalization of education is the current challenge for students, teachers and universities in Europe after assuming the implementation of the EHEA (European Higher Education Area). The Erasmus programme has been playing a key role in exposing stakeholders to European internationalization. Although the large global figures of the programme are frequently analyzed, it is important to study the effects of the participation in exchange programs on students and teachers. Erasmus Intensive programs enable a closer look at the daily experience of students. In this article, we analyse the effects of intensive international programs on participants' perceptions and attitudes referred to international and multicultural working environments. Data for the analysis were collected through several experiences where ICT students were involved in intensive multinational programs. Results from 125 students using pre- and post-experience questionnaires show interesting benefits of participating in intensive experiences before starting longer or more challenging activities: they feel more motivated to be engaged in semester long staying or professional work abroad, less worries about how to work in multicultural settings, increment in self-confidence, etc.Article Citation - WoS: 10A DISCUSSION ON ASSURING SOFTWARE QUALITY IN SMALL AND MEDIUM SOFTWARE ENTERPRISES: AN EMPIRICAL INVESTIGATION(Univ Osijek, Tech Fac, 2011) Pusatli, O. Tolga; Misra, SanjayUnder the studies of general core activities including software inspection, review and testing to achieve quality objectives in small-medium size enterprises (SMEs), the paper presents a contemporary view of such companies against quality measures. The results from a local empirical investigation of quality standards in the Turkish software industry are reported. Around 150 software companies have been approached from which 17 detailed feedback inform that in order to ensure software quality, standards including internationally recognized International Standards Organization (ISO) and Capability Maturity Model Integration (CMMI) are given credit. However the substantial workload and resources required to obtain them are also reported as serious; downscaled frameworks of such large models proposed in the literature are not well known by the SMEs either. The paper also discusses "work around" that bypasses such standards to ease delivery of products while keeping certificates as labels just to acquire new jobs for the business.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: 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: 7Citation - Scopus: 11Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm(Univ Osijek, Tech Fac, 2015) Crawford, Broderick; Soto, Ricardo; Johnson, Franklin; Misra, Sanjay; Paredes, Fernando; Olguin, EduardoThis paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions.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: 5Citation - Scopus: 8Solving the Software Project Scheduling Problem Using Intelligent Water Drops(Univ Osijek, Tech Fac, 2018) Crawford, Broderick; Soto, Ricardo; Astorga, Gino; Castro, Carlos; Paredes, Fernando; Misra, Sanjay; Rubio, Jose-MiguelWithin the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.Article Citation - WoS: 2Constraint Programming for Optimal Design of Architectures for Water Distribution Tanks and Reservoirs: a Case Study(Univ Osijek, Tech Fac, 2014) Soto, Ricardo; Crawford, Broderick; Misra, Sanjay; Monfroy, Eric; Palma, Wenceslao; Castro, Carlos; Paredes, FernandoA water distribution system is an essential component of any urban infrastructure system. Its design is commonly a hard task mainly due to the presence of several complex interrelated parameters. Among others, some parameters to study are the water demand, pressure requirements, topography, location of resources, system reliability, and energy uses. In this paper, we focus on a real case of water distribution system in order to minimize installation costs by satisfying the given system requirements. We solve the problem by using state-of-the-art Constraint Programming techniques combined with Interval Analysis for rigorously handling continuous decision variables. Experimental results demonstrate the feasibility of the proposed approach, where the global optimum is reached in all instances and in reasonable runtime.
