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International Journal of Software Engineering (IJSE)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 2180-1320
Published - Bi-Monthly   |   Established - 2010   |   Year of Publication - 2021

SUBMISSION
September 30, 2021

NOTIFICATION
October 31, 2021

PUBLICATION
November 2021

 
         
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Visit Video Section to see author video presentations on their publications.
 
 
RESEARCH CENTERS, INSTITUTES & UNIVERSITIES
 
SEE COMPLETE LIST OF PUBLICATIONS
 

IJSE CITATION IMPACT
3.907

Refer to In-Process Citation Report for IJSE for complete details.
 
LIST OF JOURNALS
Complete list of Open Access journals with free access its publications.
 
For Inquiries & Fast Response cscpress@cscjournals.org

CITATION REPORT FOR IJSE

Below calculations are based on citations that are extracted through Google Scholar until December 31, 2020.


Total Citations = 168
Self Citations = 0
Total Publications = 43


Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(168 - 0) / 43 = 3.907

 
SR
M-CODE
CITATION
1
Derezi?ska, A., & Byczkowski, M. (2018, September). Enhancements of Detecting Gang-of-Four Design Patterns in C# Programs. In International Conference on Information Systems Architecture and Technology (pp. 277-286). Springer, Cham.
2
Dolz, M. F., Astorga, D. D. R., Fernández, J., García, J. D., & Carretero, J. (2018). Towards Automatic Parallelization of Stream Processing Applications. IEEE Access, 6, 39944-39961.
3
Sritharan, S., & Ragel, V. R. (2016). Identifying the Personality Preference Across Faculties and Demographic Factors: Myers-Briggs Personality Profiles of Academics of Eastern University, Sri Lanka. IUP Journal of Organizational Behavior, 15(2), 56.
4
Kumar, P., & Wahid, A. (2016). Performance Evaluation of Data Mining Techniques for Predicting Software Reliability. network, 17, 19.
5
Jaiswal, A., & Malhotra, R. (2016). Software Reliability Prediction Using Machine Learning Techniques. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving (pp. 141-163). Springer Singapore.
6
Muqeem, M. (2016). Design of an Efficient Framework for Requirement Elicitation.
7
Garg, S., Modi, K., & Chaudhary, S. (2016). A QoS-aware Approach for Runtime Discovery, Selection and Composition of Semantic Web Services. International Journal of Web Information Systems, 12(2).
8
Mohsin, A., Fatima, S., Khan, A. U., & Nawaz, F. (2016). An Automated Approach for Web Services Architectural Style Selection. J Inform Tech Softw Eng, 6(176), 2.
9
Huzooree, G., & Ramdoo, V. D. (2015). A Systematic Study on Requirement Engineering Processes and Practices in Mauritius. International Journal, 5(2).
10
Jrad, F., Tao, J., Streit, A., Knapper, R., & Flath, C. (2015). A utilitybased approach for customised cloud service selection. International Journal of Computational Science and Engineering, 10(1-2), 32-44.
11
Elabd, E. (2015). A Dynamic Reputation-Based Approach for Web Services Discovery.
12
Kim, S. (2015). A quantitative and knowledgebased approach to choosing security architectural tactics. International Journal of Ad Hoc and Ubiquitous Computing, 18(1-2), 45-53.
13
Dwi Gustia, F., Eric Wibowo, A., Mardiani, M., & Farizi, A. Rancang Bangun Edugame Math Bubbles Untuk Pembelajaran Barisan Aritmatika Berbasis Android.
14
Luarsa, S., Marpalo, D., & Sopryadi, H. Penerapan Algoritme Fisher Yates pada Game Edukasi Eco Mania Berbasis Unity 3D.
15
Zill-e-Subhan, A. T. B. Integrated Analysis of Traditional Requirements Engineering Process with Agile Manifesto: A Traditional Solution to Agile Problems.
16
Monteiro, C. (2015). O Scrum como Alternativa ao Modelo em Cascata Aplicado à Zurich Portugal (Doctoral dissertation).
17
Delgado, J. C. (2015). Supporting Enterprise Integration with a Multidimensional Interoperability Framework. International Journal of Social and Organizational Dynamics in IT (IJSODIT), 4(1), 39-70.
18
Kumar, G., & Bhatia, P. K. (2015). Neuro-Fuzzy Model to Estimate & Optimize Quality and Performance of Component Based Software Engineering. ACM SIGSOFT Software Engineering Notes, 40(2), 1-6.
19
Padhy, N., Panigrahi, R., & Baboo, S. (2015, January). A Systematic Literature Review of an Object Oriented Metric: Reusability. In Computational Intelligence and Networks (CINE), 2015 International Conference on (pp. 190-191). IEEE.
20
Dhaya Nor, B. (2015). Comparative analysis of software reusability attributes in web and mobile applications (Doctoral dissertation, Universiti Tun Hussein Onn Malaysia).
21
Ramírez Morales, J. (2015). F/OSS para el reuso: métricas, desarrollo de herramientas y marco para su evaluación (Doctoral dissertation, Facultad de Informática).
22
Aljallabi, B. M., & Mansour, A. (2015, September). Enhancement approach for non-functional requirements analysis in Agile environment. In Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015 International Conference on (pp. 428-433). IEEE.
23
Darbari, M., Dave, R., & Hemrajani, N. (2015). Building Automation using IOT with Special Reference Regional Variations. International Journal of Computer Applications, 122(7).
24
Akinola, A. T., Adigun, M. O., & Akingbesote, A. O. (2015, December). QoS-aware single service selection mechanism for ad-hoc mobile cloud computing. In Computing, Communication and Security (ICCCS), 2015 International Conference on (pp. 1-6). IEEE.
25
Khowfa, W., Silasai, O., & Kaewpruksapimon, C. (2015). QoS Based Service Selection in Cloud Environment: A Review. International Journal of Advances in Soft Computing & Its Applications, 7(3).
26
Polska, OV, Polish, OV, Polska, O. V., Kudermetov, RK, Kudermetov, RK, Kudermetov, R. K., ... & Shkarupylo, V. V. (2015). Detection and selection of WEB-services.
27
Akhunzada, A., Gani, A., Hussain, S., & Khan, A. A. (2015, November). A formal framework for web service broker to compose QoS measures. In SAI Intelligent Systems Conference (IntelliSys), 2015 (pp. 532-536). IEEE.
28
Akinola, A. T., Adigun, M. O., Akingbesote, A. O., & Mba, I. N. (2015, September). Optimal service selection in Ad-Hoc mobile market based on multi-dynamic decision algorithms. In Computer Networks and Information Security (WSCNIS), 2015 World Symposium on (pp. 1-6). IEEE.
29
Bhardwaj, E., & Kumar, D. Mitigation of Threats using Secure SDLC.
30
Aapaoja, A., & Haapasalo, H. (2014). A framework for stakeholder identification and classification in construction projects. Open Journal of Business and Management, 2014.
31
Massoud, A., & Ramadan, H. (2014). KravhanteringBrister och lsningar.
32
Bjrk, M., Sderstrm, J., & gren, S. (2014). Att mta det oknda: Utmaningar vid implementering av ett processorienterat arbetsstt inom offentlig verksamhet.
33
Bibi, S., Hafeez, Y., Hassan, M. S., Gul, Z., Pervez, H., Ahmed, I., & Mazhar, S. (2014). Requirement Change Management in Global Software Environment Using Cloud Computing. Journal of Software Engineering and Applications, 2014.
34
Al-Tarawneh, f. h. a framework for cots software evaluation and selection for cots mismatches handling and non-functional requirements.
35
Malhotra, S. S. M. Requirement Elicitation Of Large Web Projects.
36
Bentmar, B., & Shiravand, M. Kravhantering inom landsting.
37
Yousefi, A. (2014). Defect Localization using Dynamic Call Tree Mining and Matching and Request Replication: An Alternative to QoS-aware Service Selection.
38
Actuators Hu Xiaohui, Wang is still wide, & Li Xiaotao. (2014) based on a combination of global service QoS dynamic random and trust evaluation. Control and Decision, 29 (8), 1379-1386.
39
Immonen, A., & Pakkala, D. (2014). A survey of methods and approaches for reliable dynamic service compositions. Service Oriented Computing and Applications, 8(2), 129-158.
40
Saadah, M. N., & Atmagi, R. W. (2014).Quality of service oriented web service selection: an evaluation of techniques. Jurnal Ilmu Komputer dan Informasi, 7(1), 25-30.
41
Cavalcanti, D. J. M., & Rosa, N. S. O. (2014). Estratgias de Ranqueamento para Seleo Dinmica de Servios Baseadas em Atributos de Qualidade.
42
Elfirdoussi, S., Jarir, Z., & Quafafou, M. (2014).Ranking Web Services using Web Service Popularity Score. International Journal of Information Technology and Web Engineering (IJITWE), 9(2), 78-89.
43
NWE, N. H. W., BAO, J. M., & Gang, C. U. I. (2014).Flexible user-centric service selection algorithm for Internet of Things services. The Journal of China Universities of Posts and Telecommunications, 21, 64-70.
44
Maheswari, s., karpagam, g., & manasaa, s.(2014).design of standardization engine for semantic web service selection.Journal of Theoretical and Applied Information Technology, 66(1).
45
Chakhar, S., Ishizaka, A., & Labib, A. W. (2014). QoS-aware parameterized semantic matchmaking framework for web service composition.
46
Georgieva, O., & Petrova-Antonova, D. (2014, August). QoS-Aware Web Service Selection Accounting for Uncertain Constraints. In Software Engineering and Advanced Applications (SEAA), 2014 40th EUROMICRO Conference on (pp. 174-177). IEEE.
47
Lu, W., Hu, X., Wang, S., & Li, X. (2014). A Multi-Criteria QoS-aware Trust Service Composition Algorithm in Cloud Computing Environments. International Journal of Grid and Distributed Computing, 7(1), 77-88.
48
Nogueira Souza, F., Mota Cavalcanti, D. J., Coutinho Da Silva, T., & Souto Rosa, N. (2014, June). Ranking Strategies for Quality-Aware Service Selection. In Services Computing (SCC), 2014 IEEE International Conference on (pp. 115-122). IEEE.
49
Petrova-Antonova, D., Hristova, N., & Georgieva, O. (2014, June). RecSS: automation of QoS-aware web service selection. In Proceedings of the 15th International Conference on Computer Systems and Technologies (pp. 256-263). ACM.
50
Delphin, J. G., & Purushothaman, R. (2014, April). Reputation-enhanced similarity-based dynamic service discovery framework for service-based applications. In Recent Trends in Information Technology (ICRTIT), 2014 International Conference on (pp. 1-6). IEEE.
51
Bardsiri, V. K., Jawawi, D. N. A., Hashim, S. Z. M., & Khatibi, E. (2014). A flexible method to estimate the software development effort based on the classification of projects and localization of comparisons. Empirical Software Engineering, 19(4), 857-884.
52
Sandhu, G. S., & Salaria, D. S. (2014). A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation. International Journal of Computer Applications, 96(4).
53
Kumar, G., & Bhatia, P. K. (2014). Automation of software cost estimation using neural network technique. Memory, 1(1.06), 1-21.
54
Xu, Y., & Liang, P. (2014). Automated software architectural synthesis using patterns: A cooperative coevolution approach. In Proc. 26th Int. Conf. on Software Engineering and Knowledge Engineering (pp. 174-180).
55
Xu, Y., & Liang, P. (2014). A Cooperative Coevolution Approach to Automate Pattern-based Software Architectural Synthesis. International Journal of Software Engineering and Knowledge Engineering, 24(10), 1387-1411.
56
Sandhu, G. S., & Salaria, D. S. (2014). A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation. International Journal of Computer Applications, 96(4).
57
Kanwal, F., Bashir, K., & Ali, A. H. (2014). Documentation Practices for Offshore Agile Software Development. Life Science Journal, 11(10s).
58
Vijay, D., & Ganapathy, G. (2014). Guidelines to minimize cost of software quality in agile scrum process. arXiv preprint arXiv:1406.5731.
59
Wiesche, M., & Krcmar, H. (2014, May). The relationship of personality models and development tasks in software engineering. In Proceedings of the 52nd ACM conference on Computers and people research (pp. 149-161). ACM.
60
Mohammed, M. (2014).Evaluating techniques to reduce errors made by novice programmers (Doctoral dissertation, Meliksah University).
61
Kanwal, F., Bashir, K., & Ali, A. H. (2014). Documentation Practices for Offshore Agile Software Development. Life Science Journal, 11(10s).
62
Goyal, N., & Gupta, D. (2014). Reusability Calculation of Object Oriented Software Model by Analyzing CK Metric. International Journal of Advanced Research in Computer Engineering & Technology, 3(7), 2466-2470.
63
Jain, S., & Sheikh, M. (2014). RUCM: A Measurement Model for Detecting the most Suitable Code Component from Object Oriented Repository. International Journal of Computer Applications, 103(2).
64
ACTUATORS Hu Xiaohui, Wang is still wide, & Li Xiaotao. (2014). Based on the global dynamic random QoS service composition and trust evaluation. Control and Decision, 29 (8), 1379-1386.
65
Priyaradhikadevi, T., Parvathi, R. M. S., & Narayanan, K. L. An enhanced stratergy for deriving the quality requirements in qos based web services with location recommender system.
66
Princy, B. A., & Sridhar, S. (2014). Measuring Software Reliability and Release Time Using SRGM Tool. International Journal Of Scientific Research And Education, 2(05).
67
Anniprincy, B., & Sridhar, S. Cost Efficient Software Reliability Growth Model Using Gompertz Testing Effort Function.
68
Mallikharjuna, R. K., & Kodali, A. (2014). An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony Optimization. In Swarm, Evolutionary, and Memetic Computing (pp. 765-776). Springer International Publishing.
69
Bijani, S., & Robertson, D. (2014). A review of attacks and security approaches in open multi-agent systems. Artificial Intelligence Review, 42(4), 607-636.
70
Meland, P. H., Paja, E., Gjære, E. A., Paul, S., Dalpiaz, F., & Giorgini, P. (2014). Threat analysis in goal-oriented security requirements modelling. International Journal of Secure Software Engineering (IJSSE), 5(2), 1-19.
71
Xia, D., Peng, Z., Tang, Y., & Yang, L. (2014). Research on Standardization of Ground Process Software for Flight Data. In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume II (pp. 309-314). Springer Berlin Heidelberg.
72
Oliveira, K., Pimentel, J., Santos, E., Dermeval, D., Guedes, G., Souza, C., ... & Silva, C. (2013). 25 years of Requirements Engineering in Brazil: a systematic mapping. In Workshop on Requirements Engineering.
73
Hagal, M., & Alshareef, S. F. (2013, December). A systematic approach to generate and clarify consistent requirements. In IT Convergence and Security (ICITCS), 2013 International Conference on (pp. 1-4). IEEE.
74
Pillai, A. S. (2013, December). A study on the software requirements elicitation issues-its causes and effects. In Information and Communication Technologies (WICT), 2013 Third World Congress on (pp. 245-252). IEEE.
75
Castro, J., & Alencar, F. (2013). Uso de Modelagem Social na Engenharia de Requisitos. Jornada de Atualizao de Informtica-JAI.
76
Schneider, L., Hajji, K., Schirbaum, A., & Basten, D. (2013). Knowledge Creation in Requirements Engineering-A Systematic Literature Review. In Wirtschaftsinformatik (p. 114).
77
Latif, M. S., Sarwar, M. U., Talib, M. R., Khan, M. I., & Sarwar, M. B. (2013). Improvement in software quality with prioritization requirements. International Journal of Computer Science and Management Research, 2(4), 2171-2183.
78
ARSHAD, S., MUHAMMAD, S., & SHAHZAD, S. (2013). Empirical analysis of traditional and agile requirement engineering process. Science Technology and Development (Pakistan).
79
Abbasi, W. A. (2013).Fuzzy logic based intelligent software requirement elicitation technique selection model (Doctoral dissertation, Iqra University Islamabad).
80
Chugh, N., & Mishra, A. D. (2013). Assimilation of Four Layered Approach to NFR in Agile Requirement Engineering. International Journal of Computer Applications, 78(5), 25-28.
81
Siegemund, K. (2013). Contributions To Ontology-Driven Requirements Engineering.
82
Zeaaraoui, A., Bougroun, Z., Belkasmi, M. G., & Bouchentouf, T. (2013, August). User stories template for object-oriented applications. In Innovative Computing Technology (INTECH), 2013 Third International Conference on (pp. 407-410). IEEE.
83
Mahalakshmi, K., & Prabhakar, R. (2013). Performance Evaluation of Non Functional Requirements. Global Journal of Computer Science and Technology, 13(8).
84
Souza, C., Souza, C., Alencar, F. M., Castro, J., Figueiredo, E., & Cavalcanti, P. (2013). Avaliao de Modelos i* com o Processo AIRDoc-i. In ER@ BR.
85
Baykal, N. (2013).Use of project similarity for software development time estimation (Doctoral dissertation, MIDDLE EAST TECHNICAL UNIVERSITY).
86
Hofreiter, B., & Marchand-Maillet, S. (2013, December). Rank Aggregation for QoS-Aware Web Service Selection and Composition. In Service-Oriented Computing and Applications (SOCA), 2013 IEEE 6th International Conference on (pp. 252-259). IEEE.
87
Bandara, K. Y., Wang, M., & Pahl, C. (2013). An extended ontology-based context model and manipulation calculus for dynamic Web service processes. Service Oriented Computing and Applications, 9(2), 87-106.
88
Ajao, T. A., Deris, S., & Obasa, I. A. (2013). QoS-based Web Service Selection Using Filtering, Ranking and Selection Algorithm. International Journal of Scientific & Engineering Research, 4(7).
89
Ajao, T. A., & Deris, S. (2013). Optimal web service selection with consideration for users preferences. IJCSI) Internat Journ Comput Sci Issu.
90
Diaz, V. A. P. (2013). Deteco de Violaes de SLA em Coreografias de Servios Web (Doctoral dissertation, Universidade de So Paulo).
91
Sathya, M., Dhavachelvan, P., & Vivekanandan, K. (2013). Egalitarian Based Negotiation Model for QoS Based Web Service Selection. International Journal of Engineering and Technology, 8(2), 134-142.
92
Yassin Kassab, R. (2013). A methodology for automated service level agreement compliance prediction.
93
Kacprzyk, J. Studies in Computational Intelligence 468.
94
da Silva, C. E., & Ferreira, L. A Comparative Analysis of Multicriteria Approaches for Cloud Services Selection Hivana Alice Medeiros de Macedo Departamento de Informtica e Matemtica AplicadaUniversidade Federal do Rio Grande do Norte Caixa Postal 1524Campus Universitrio59078-900Natal/RNBrasil.
95
Ganesh, M. S., & Thanushkodi, K. (2013). FAHSCEP: Fuzzy and Analogy Based Hybrid Software Cost Estimation Process. International Review on Computers and Software (IRECOS), 8(7), 1497-1505.
96
Kamal, S., & Nasir, J. A. (2013). A Fuzzy Logic Based Software Cost Estimation Model. International Journal of Software Engineering and Its Applications, 7(2), 7-18.
97
Bardsiri, V. K., Jawawi, D. N. A., Hashim, S. Z. M., & Khatibi, E. (2013). A PSO-based model to increase the accuracy of software development effort estimation. Software Quality Journal, 21(3), 501-526.
98
Rao, S., Hari, C. H., & Prasad Reddy, P. V. G. D. (2013). Predictive and Stochastic Approach for Software Effort Estimation. Int. J. of Software Engineering, IJSE, 6.
99
FSKSM, U. T. M. A Fuzzy Logic Based Software Cost Estimation Model.
100
Kumar, P., & Singh, Y. (2013). Comparative analysis of software reliability predictions using statistical and machine learning methods. International Journal of Intelligent Systems Technologies and Applications, 12(3-4), 230-253.
101
Kuznetsova, Yu, Syromyatnikov, A., & Turkin, IB (2013). Practical analysis of the internal quality of the software open source. Sistemi obrobki Informcie, (6), 224-233.
102
Varona, D., Capretz, L. F., & Raza, A. A multicultural comparison of software engineers.
103
Mohammad, A. H., & Alwada'n, T. (2013). Agile Software Methodologies: Strength and Weakness. International Journal of Engineering Science and Technology, 5(3), 455.
104
Chávez Estrada, M. J. (2013). Impacto de la implementación de un sistema web en la eficiencia de la administración de la información local de agua y saneamiento de los sectores de la zona rural de la provincia de Cajamarca en la MPC.
105
ABE, J. O. An investigation of software requirements management practices in nigerian software development industries.
106
Fernández-Isabel, A., & Fuentes-Fernández, R. An Integrative Framework for the Model-Driven Development of Traffic Simulations.
107
Meland, P. H., Gjære, E. A., & Paul, S. (2013, September). The Use and Usefulness of Threats in Goal-Oriented Modelling. In Availability, Reliability and Security (ARES), 2013 Eighth International Conference on (pp. 428-436). IEEE.
108
Preschern, C., Kajtazovic, N., & Kreiner, C. (2013, October). Security analysis of safety patterns. In Proceedings of the 20th Conference on Pattern Languages of Programs (p. 12). The Hillside Group.
109
Natale, L. P., & Omar, N. (2013, July). Using Ontological Database in Heterogeneous Database Integration. In Proceedings of the International Conference on Computer Education and Engineering (Vol. 8, pp. 292-296).
110
Distanont, A., Haapasalo, H., Vaananen, M., & Lehto, J. (2012). The engagement between knowledge transfer and requirements engineering. International Journal of Management, Knowledge and Learning, 1(2), 131-156.
111
Al-Fataftah, I. A., & Issa, A. A. (2012). A systematic review for the latest development in requirement engineering. World Acad Sci Eng Technol, 6, 691-698.
112
Christopher, D. F. X., & Chandra, E. (2012).Prediction of software requirements stability based on complexity point measurement using multi-criteria fuzzy approach. International Journal of Software Engineering & Applications, 3(6), 101.
113
Lehto, J., Haapasalo, H., Distanont, A., & Vaananen, M. (2012). The Engagement between Knowledge Transfer and Requirements Engineering. International Journal of Management, Knowledge and Learning, (2), 131-156.
114
Collaborative, i. ctechnica.
115
Petrova-Antonova, D., & Dimov, A. (2012). Towards a taxonomy of Web service composition approaches. Scalable Computing: Practice and Experience, 12(4).
116
Sekar, K., Ravichandran, K., & SINGH, A. (2012).Enhancement of software component compatibility in enterprise software development using high peer and low peer. journal of theoretical and applied information technology, 46(1).
117
Arockiam, L., & Sasikaladevi, N. (2012). Simulated Annealing Based Service Selection Algorithm for Composite Web Service. International Journal of Advanced Research in Computer Science, 3(2).
118
Fakhfakh, N. (2012). Une approche oriente utilisateur pour la supervision des orchestrations de services (Doctoral dissertation, Universit de Grenoble).
119
Batista, C., Alves, G., Cavalcante, E., Lopes, F., & Batista, T. (2012). Monitoramento de metadados para Computao Ubqua. In XXXIX Seminrio Integrado de Software e Hardware (SEMISH 2012), Curitiba, PR, Brasil. Anais do XXXII Congresso da Sociedade Brasileira de Computao (CSBC 2012). Porto Alegre, RS, Brasil: SBC.
120
Devi, S., & Arockiam, L. (2012). Simulated Annealing based Service Selection Algorithm for Composite Web Services. International Journal of Advanced Research in Computer Science, 3(2).
121
Moo-Mena, F. J., Uc-Cetina, V. M., & Canton-Puerto, D. G. (2012, September). Dynamic web services selection using a hidden Markov model. In Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on (pp. 1-6). IEEE.
122
Du, Y., Wang, X., Ai, L., & Li, X. (2012, September). Dynamic selection of services under temporal constraints in cloud computing. In e-Business Engineering (ICEBE), 2012 IEEE Ninth International Conference on (pp. 252-259). IEEE.
123
Copeland, R., & Crespi, N. (2012, July). Establishing enterprise Business Context (eBC) for service policy decision in mobile broadband networks. In Computer Communications and Networks (ICCCN), 2012 21st International Conference on (pp. 1-5). IEEE.
124
Ridhawi, Y. A., Ridhawi, I. A., Samaan, N., & Karmouch, A. (2012, July). An Adaptive Vertical Handover in Service Specific Overlay Networks. In Applications and the Internet (SAINT), 2012 IEEE/IPSJ 12th International Symposium on (pp. 418-423). IEEE.
125
Batista, C., Alves, G., Cavalcante, E., Lopes, F., Batista, T., Delicato, F. C., & Pires, P. F. (2012). A metadata monitoring system for Ubiquitous Computing. In Proc. of the 6th Int. Conf. on Mobile Ubiquitous Computing, Systems, Services and Technologies (pp. 60-66).
126
Atmagi, R. W., & Saadah, M. N. (2012).Quality of service based web service selection: an evaluation of techniques. juti: jurnal ilmiah teknologi informasi, 10(2), 61-65.
127
PVGD, P. R., & VMK, H. C. (2012). Fuzzy and Swarm Intelligence for Software Cost Estimation. Global Journal of Computer Science and Technology, 11(22).
128
Papatheocharous, E., & Andreou, A. S. (2012).A hybrid software cost estimation approach utilizing decision trees and fuzzy logic. International Journal of Software Engineering and Knowledge Engineering, 22(03), 435-465.
129
Asthana, R., Ahuja, N. J., Darbari, M., & Shukla, P. K. (2012). A Critical Review on the Development of Urban Traffic Models & Control Systems. Int. J. Sci. Eng. Res, 3(1), 1-6.
130
Kumar, P., & Singh, Y. (2012). An empirical study of software reliability prediction using machine learning techniques. International Journal of System Assurance Engineering and Management, 3(3), 194-208.
131
Kumar, P., & Singh, Y. (2012). Assessment of software testing time using soft computing techniques.Acm Sigsoft Software Engineering Notes, 37(1), 1-6.
132
Uzunov, A. V., Fernandez, E. B., & Falkner, K. (2012). Engineering Security into Distributed Systems: A Survey of Methodologies. J. UCS, 18(20), 2920-3006.
133
Uikey, N., & Suman, U. (2012, September). An empirical study to design an effective agile project management framework. In Proceedings of the CUBE International Information Technology Conference (pp. 385-390).acm.
134
Gandhi, P., & Bhatia, P. K. (2012). Analytical analysis of generic reusability: Weyuker’s Properties. International Journal of Computer Science Issues, 9(2), 424-427.
135
Qwaider, W. Q. (2012). Empirical Study of the Evolution of Agile-developed Software System in Jordanian's Telecom. International Journal of Business Information Systems, 1(1).
136
Ramingwong, L. (2012). A review of requirements Engineering processes, Problems and models. International Journal of Engineering Science and Technology, 4(6).
137
Pro, S. F., & Call, F. I. (2012). Secure and Trustworthy Composite S.
138
Rani, A., Solanki, K., & Jangra, G. (2011). Requirement Engineering: A Comprehensive Review. Software Engineering and Technology, 3(6), 275-280.
139
Zakaria, N. H., Haron, A., Sahibuddin, S., & Harun, M. (2011). Requirement engineering critical issues in public sector software project success factor. International Journal of Information and Electronics Engineering, 1(3), 200-209.
140
Liao, C. F., Cheng, H. H., & Fu, L. C. (2011, December). Unifiable Preference Expressions for Pervasive Service Composition. In Services Computing Conference (APSCC), 2011 IEEE Asia-Pacific (pp. 424-431). IEEE.
141
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