Home   >   CSC-OpenAccess Library   >   Software Engineering   >  International Journal of Software Engineering (IJSE)
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 - 2024

SUBMISSION
November 30, 2024

NOTIFICATION
December 31, 2024

PUBLICATION
January 31, 2025

 
         
HOME   About IJSE   Editorial Board   Call For Papers/Editors   Submission Guidelines   Citation Report   Issues Archive   Subscribe IJSE
VIDEO PRESENTATIONS
Visit Video Section to see author video presentations on their publications.
 
 
RESEARCH CENTERS, INSTITUTES & UNIVERSITIES
 
SEE COMPLETE LIST OF PUBLICATIONS
 

IJSE CITATION IMPACT
3.574
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 = 47


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

Citation Impact
(168 - 0) / 47 = 3.574
 
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
 Muqeem, M. (2016). Design of an Efficient Framework for Requirement Elicitation.
4
 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).
5
 Kumar, P., & Wahid, A. (2016). Performance Evaluation of Data Mining Techniques for Predicting Software Reliability. network, 17, 19.
6
 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.
7
 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.
8
 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.
9
 Ramírez Morales, J. (2015). F/OSS para el reuso: métricas, desarrollo de herramientas y marco para su evaluación (Doctoral dissertation, Facultad de Informática).
10
 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.
11
 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.
12
 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).
13
 Dhaya Nor, B. (2015). Comparative analysis of software reusability attributes in web and mobile applications (Doctoral dissertation, Universiti Tun Hussein Onn Malaysia).
14
 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.
15
 Jrad, F., Tao, J., Streit, A., Knapper, R., & Flath, C. (2015). A utility–based approach for customised cloud service selection. International Journal of Computational Science and Engineering, 10(1-2), 32-44.
16
 Elabd, E. (2015). A Dynamic Reputation-Based Approach for Web Services Discovery.
17
 Monteiro, C. (2015). O Scrum como Alternativa ao Modelo em Cascata Aplicado à Zurich Portugal (Doctoral dissertation).
18
 Luarsa, S., Marpalo, D., & Sopryadi, H. Penerapan Algoritme Fisher Yates pada Game Edukasi Eco Mania Berbasis Unity 3D.
19
 Dwi Gustia, F., Eric Wibowo, A., Mardiani, M., & Farizi, A. Rancang Bangun Edugame Math Bubbles Untuk Pembelajaran Barisan Aritmatika Berbasis Android.
20
 Kim, S. (2015). A quantitative and knowledge–based approach to choosing security architectural tactics. International Journal of Ad Hoc and Ubiquitous Computing, 18(1-2), 45-53.
21
 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.
22
 Bhardwaj, E., & Kumar, D. Mitigation of Threats using Secure SDLC.
23
 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.
24
 Zill-e-Subhan, A. T. B. Integrated Analysis of Traditional Requirements Engineering Process with Agile Manifesto: A Traditional Solution to Agile Problems.
25
 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.
26
 Huzooree, G., & Ramdoo, V. D. (2015). A Systematic Study on Requirement Engineering Processes and Practices in Mauritius. International Journal, 5(2).
27
 Darbari, M., Dave, R., & Hemrajani, N. (2015). Building Automation using IOT with Special Reference Regional Variations. International Journal of Computer Applications, 122(7).
28
 Polska, OV, Polish, OV, Polska, O. V., Kudermetov, RK, Kudermetov, RK, Kudermetov, R. K., ... & Shkarupylo, V. V. (2015). Detection and selection of WEB-services.
29
 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.
30
 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.
31
 Mohammed, M. (2014).Evaluating techniques to reduce errors made by novice programmers (Doctoral dissertation, Meliksah University).
32
 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.
33
 Vijay, D., & Ganapathy, G. (2014). Guidelines to minimize cost of software quality in agile scrum process. arXiv preprint arXiv:1406.5731.
34
 Kanwal, F., Bashir, K., & Ali, A. H. (2014). Documentation Practices for Offshore Agile Software Development. Life Science Journal, 11(10s).
35
 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).
36
 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.
37
 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).
38
 Kumar, G., & Bhatia, P. K. (2014). Automation of software cost estimation using neural network technique. Memory, 1(1.06), 1-21.
39
 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).
40
 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.
41
 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.
42
 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.
43
 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).
44
 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.
45
 Bijani, S., & Robertson, D. (2014). A review of attacks and security approaches in open multi-agent systems. Artificial Intelligence Review, 42(4), 607-636.
46
 Princy, B. A., & Sridhar, S. (2014). Measuring Software Reliability and Release Time Using SRGM Tool. International Journal Of Scientific Research And Education, 2(05).
47
 Anniprincy, B., & Sridhar, S. Cost Efficient Software Reliability Growth Model Using Gompertz Testing Effort Function.
48
 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.
49
 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.
50
 Kanwal, F., Bashir, K., & Ali, A. H. (2014). Documentation Practices for Offshore Agile Software Development. Life Science Journal, 11(10s).
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
 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.
53
 Aapaoja, A., & Haapasalo, H. (2014). A framework for stakeholder identification and classification in construction projects. Open Journal of Business and Management, 2014.
54
 Al-Tarawneh, f. h. a framework for cots software evaluation and selection for cots mismatches handling and non-functional requirements.
55
 Malhotra, S. S. M. Requirement Elicitation Of Large Web Projects.
56
 Bentmar, B., & Shiravand, M. Kravhantering inom landsting.
57
 Yousefi, A. (2014). Defect Localization using Dynamic Call Tree Mining and Matching and Request Replication: An Alternative to QoS-aware Service Selection.
58
 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.
59
 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.
60
 Cavalcanti, D. J. M., & Rosa, N. S. O. (2014). Estratégias de Ranqueamento para Seleção Dinâmica de Serviços Baseadas em Atributos de Qualidade.
61
 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.
62
 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.
63
 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).
64
 Chakhar, S., Ishizaka, A., & Labib, A. W. (2014). QoS-aware parameterized semantic matchmaking framework for web service composition.
65
 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.
66
 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.
67
 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.
68
 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.
69
 Massoud, A., & Ramadan, H. (2014). Kravhantering–Brister och lösningar.
70
 Björk, M., Söderström, J., & Ågren, S. (2014). Att möta det okända: Utmaningar vid implementering av ett processorienterat arbetssätt inom offentlig verksamhet.
71
 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.
72
 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.
73
 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.
74
 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.
75
 Varona, D., Capretz, L. F., & Raza, A. A multicultural comparison of software engineers.
76
 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.
77
 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.
78
 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).
79
 Kuznetsova, Yu, Syromyatnikov, A., & Turkin, IB (2013). Practical analysis of the internal quality of the software open source. Sistemi obrobki Informácie, (6), 224-233.
80
 Mohammad, A. H., & Alwada'n, T. (2013). Agile Software Methodologies: Strength and Weakness. International Journal of Engineering Science and Technology, 5(3), 455.
81
 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.
82
 Souza, C., Souza, C., Alencar, F. M., Castro, J., Figueiredo, E., & Cavalcanti, P. (2013). Avaliação de Modelos i* com o Processo AIRDoc-i. In ER@ BR.
83
 Baykal, N. (2013).Use of project similarity for software development time estimation (Doctoral dissertation, MIDDLE EAST TECHNICAL UNIVERSITY).
84
 Fernández-Isabel, A., & Fuentes-Fernández, R. An Integrative Framework for the Model-Driven Development of Traffic Simulations.
85
 ABE, J. O. An investigation of software requirements management practices in nigerian software development industries.
86
 Siegemund, K. (2013). Contributions To Ontology-Driven Requirements Engineering.
87
 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.
88
 Abbasi, W. A. (2013).Fuzzy logic based intelligent software requirement elicitation technique selection model (Doctoral dissertation, Iqra University Islamabad).
89
 ARSHAD, S., MUHAMMAD, S., & SHAHZAD, S. (2013). Empirical analysis of traditional and agile requirement engineering process. Science Technology and Development (Pakistan).
90
 Schneider, L., Hajji, K., Schirbaum, A., & Basten, D. (2013). Knowledge Creation in Requirements Engineering-A Systematic Literature Review. In Wirtschaftsinformatik (p. 114).
91
 Mahalakshmi, K., & Prabhakar, R. (2013). Performance Evaluation of Non Functional Requirements. Global Journal of Computer Science and Technology, 13(8).
92
 Castro, J., & Alencar, F. (2013). Uso de Modelagem Social na Engenharia de Requisitos. Jornada de Atualização de Informática-JAI.
93
 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.
94
 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.
95
 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.
96
 Kacprzyk, J. Studies in Computational Intelligence 468.
97
 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.
98
 da Silva, C. E., & Ferreira, L. A Comparative Analysis of Multicriteria Approaches for Cloud Services Selection Hivana Alice Medeiros de Macedo Departamento de Informática e Matemática Aplicada–Universidade Federal do Rio Grande do Norte Caixa Postal 1524–Campus Universitário–59078-900–Natal/RN–Brasil.
99
 Diaz, V. A. P. (2013). Detecção de Violações de SLA em Coreografias de Serviços Web (Doctoral dissertation, Universidade de São Paulo).
100
 FSKSM, U. T. M. A Fuzzy Logic Based Software Cost Estimation Model.
101
 Ajao, T. A., & Deris, S. (2013). Optimal web service selection with consideration for user’s preferences. IJCSI) Internat Journ Comput Sci Issu.
102
 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).
103
 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.
104
 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.
105
 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.
106
 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.
107
 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.
108
 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.
109
 Yassin Kassab, R. (2013). A methodology for automated service level agreement compliance prediction.
110
 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.
111
 Ramingwong, L. (2012). A review of requirements Engineering processes, Problems and models. International Journal of Engineering Science and Technology, 4(6).
112
 Gandhi, P., & Bhatia, P. K. (2012). Analytical analysis of generic reusability: Weyuker’s Properties. International Journal of Computer Science Issues, 9(2), 424-427.
113
 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.
114
 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).
115
 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.
116
 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.
117
 Petrova-Antonova, D., & Dimov, A. (2012). Towards a taxonomy of Web service composition approaches. Scalable Computing: Practice and Experience, 12(4).
118
 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).
119
 Pro, S. F., & Call, F. I. (2012). Secure and Trustworthy Composite S.
120
 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).
121
 Fakhfakh, N. (2012). Une approche orientée utilisateur pour la supervision des orchestrations de services (Doctoral dissertation, Université de Grenoble).
122
 Batista, C., Alves, G., Cavalcante, E., Lopes, F., & Batista, T. (2012). Monitoramento de metadados para Computação Ubíqua. In XXXIX Seminário Integrado de Software e Hardware (SEMISH 2012), Curitiba, PR, Brasil. Anais do XXXII Congresso da Sociedade Brasileira de Computação (CSBC 2012). Porto Alegre, RS, Brasil: SBC.
123
 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).
124
 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.
125
 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.
126
 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.
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
 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.
129
 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).
130
 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.
131
 Collaborative, i. ctechnica.
132
 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.
133
 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.
134
 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.
135
 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.
136
 Kumar, P., & Singh, Y. (2012). Assessment of software testing time using soft computing techniques.Acm Sigsoft Software Engineering Notes, 37(1), 1-6.
137
 Uzunov, A. V., Fernandez, E. B., & Falkner, K. (2012). Engineering Security into Distributed Systems: A Survey of Methodologies. J. UCS, 18(20), 2920-3006.
138
 Saleh, M. F. (2011). An Agile Software Development Framework. International Journal on Software Engineering (IJSE), 2(5).
139
 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.
140
 Devarakonda, r. (2011). a service oriented web-based system for finding and retrieving geological data. in 2011 gsa Annual Meeting in Minneapolis.
141
 saboktakin Rizi, E., & Reshadinezhad, M. Comparing the Impact of Bandwidth and Congestion on Selection of Heterogeneous Lines Applying Fuzzy-Genetic.
142
 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.
143
 Rani, A., Solanki, K., & Jangra, G. (2011). Requirement Engineering: A Comprehensive Review. Software Engineering and Technology, 3(6), 275-280.
144
 Yousefi, A., & Down, D. G. (2011, December). Request Replication: An alternative to QoS aware service selection. In Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference on (pp. 1-4). IEEE.
145
 Abbaci, K., Lemos, F., Hadjali, A., Grigori, D., Liétard, L., Rocacher, D., & Bouzeghoub, M. (2011, September). An approach based on fuzzy sets to selecting and ranking business processes. In Commerce and Enterprise Computing (CEC), 2011 IEEE 13th Conference on (pp. 213-218). IEEE.
146
 Abbaci, K., Lemos, F., Hadjali, A., Grigori, D., Liétard, L., Rocacher, D., & Bouzeghoub, M. (2011). Selecting and ranking business processes with preferences: an approach based on fuzzy sets. In On the Move to Meaningful Internet Systems: OTM 2011 (pp. 38-55). Springer Berlin Heidelberg.
147
 PVGDP, R., CHVMK, H., & Rao, T. S. (2011). Multi objective particle swarm optimization for software cost estimation. Int J Comput Appl, 32(3), 13-17.
148
 Gill, N. S., & Sikka, S. (2011). Inheritance Hierarchy Based Reuse & Reusability Metrics in OOSD. International Journal on Computer Science and Engineering, 3(6), 2300-2309.
149
 Xie, Q., Wu, K., Xu, J., He, P., & Chen, M. (2010). Personalized context-aware QoS prediction for web services based on collaborative filtering. In Advanced Data Mining and Applications (pp. 368-375). Springer Berlin Heidelberg.
150
 Nuric, A., Nuric, S., Kricak, L., & Negovanovic, M. (2010). Developing and Application of Software for Determining Parameters of Drainage on Designed Embankment. Mining magazine, 201(1/2).
151
 PVGD, P. R., & SNSVSC, R. Fuzzy Based Approach for Predicting Software Development Effort.
152
 Pauline, M., Aruna, P., & Shadaksharappa, B. (2013). Layered model to Estimate Effort, Performance and cost of the Software projects. International Journal of Computer Applications, 63(13), 17-23.
153
 Rai, D., & Tyagi, K. (2013, July). Estimating the regression test case selection probability using fuzzy rules. In Recent Trends in Information Technology (ICRTIT), 2013 International Conference on (pp. 603-611). IEEE.
154
 Bhatia, S. M., & Sharma, A. K. (2014). Fuzzy Quality Function Deployment and Software Engineering-A Literature Review. Software Engineering and Technology, 6(6), 159-168.
155
 Iraji, M. S. (2015). Fuzzy Agent Oriented Software Effort Estimate with cocomo.
156
 Fatima, M., Ahmad, S. F., & Hasan, M. (2015). Fuzzy Based Software Cost Estimation Methods: A Comparative Study. International Journal for Innovative Research in Science and Technology, 1(7), 287-290.
157
 Nazir, S., Khan, M. A., Anwar, S., Khan, H., & Nazir, M. (2012, May). A novel fuzzy logic based software component selection modeling. In Information Science and Applications (ICISA), 2012 International Conference on (pp. 1-6). IEEE.
158
 Asghar, S., & Umar, M. (2010). Requirement engineering challenges in development of software applications and selection of customer-off-the-shelf (COTS) components. International Journal of Software Engineering, 1(1), 32-50.
159
 Kamalanathan, S., & Selvaraju, S. (2012). Collaborative Approaches for Personalized Web Search Using Fuzzy Neural Networks. In Global Trends in Information Systems and Software Applications (pp. 367-376). Springer Berlin Heidelberg.
160
 El Zanfaly, D. S., Darwish, A., Gomaa, A. G., & Youssif, A. A. (2012, May).Heterogeneous data reduction model for payment request file of direct debit processes. In Informatics and Systems (INFOS), 2012 8th International Conference on (pp. DE-8). IEEE.
161
 Darbari, M., Asthana, R., & Singh, V. K. (2010). Integrating Fuzzy Mde-AT Framework for urban traffic simulation. International Journal of Software Engineering, 1(1).
162
 Pauline, M., Aruna, P., & Shadaksharappa, B. (2012). Fuzzy-Based Approach Using Enhanced Function Point to Evaluate the Performance of Software Project. IUP Journal of Computer Sciences, 6(2), 20.
163
 Patil, M., Sahu, V., & Jain, A. (2014, January). SMS text Compression and Encryption on Android OS. In Computer Communication and Informatics (ICCCI), 2014 International Conference on (pp. 1-6). IEEE.
164
 Patil, M., & Sahu, V. (2013). A Survey of Compression and Encryption Techniques for SMS.
165
 Elgamel, M. S., Korani, E. A., & El Helow, K. R. Developing a Software Certification for Quality Assurance.
166
 KUMAR, M. S. R., & SivaSubramanian, S. An Approach towards Developing an Efficient Software Cost Estimation System Using Fuzzy and Analogy Methods.
167
 PVGD, P. R. (2010). Particle swarm optimization in the fine-tuning of fuzzy software cost estimation models. International Journal of Software Engineering (IJSE), 1(2), 12-23.
168
 Pauline, M., Aruna, P., & Shadaksharappa, B.An enhanced model to estimate effort, performance and cost of the software projects.