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1.
International Journal of
Computer and Technology (IJCET), ISSN 0976 – 6367(Print), International Journal of Computer Engineering Engineering ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME and Technology (IJCET), ISSN 0976 – 6367(Print) ISSN 0976 – 6375(Online) Volume 1 IJCET Number 2, Sep - Oct (2010), pp. 01-15 ©IAEME © IAEME, http://www.iaeme.com/ijcet.html PERFORMANCE MEASUREMENT OF DIFFERENT REQUIREMENTS ENGINEERING PROCESS MODELS: A CASE STUDY Dhirendra Pandey Department of Information Technology Babasaheb Bhimrao Ambedkar University Lucknow (U.P.) - 226025 E-Mail: prof.dhiren@gmail.com U. Suman, A. K. Ramani School for Computer Science & IT Devi AhilyaVishwavidyalaya, indore (M.P) ABSTRACT: Numerous requirement engineering models have been proposed to find out the good requirements for development of quality software product. In this paper we use different requirements engineering process model which are linear to iterative in structure. In this paper, we also examine the performance of our requirements engineering processes model as well as existing model at two Indian companies. Structured interviews were conducted with the aid of a qualitative questionnaire. The results from the interviews are discussed, with particular focus on requirements engineering activities and the high-level descriptive process models of the requirements engineering processes that were constructed from the data. These models are then compared with the performance of our RE process model. Keywords: Requirements engineering process models, Indian companies, requirements elicitation, project management. 1. INTRODUCTION The objectives of RE is to extract the quality requirements from the stakeholders for engineering principles and the development of information systems analysis and 1
2.
International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME designing of system [1, 2]. Requirement engineering is one of the most important tools for gathering requirements, which is concerned with analyzing and documenting the requirements [3, 8]. Furthermore, the cost of repairing requirements-related problems dramatically increases as the software development process progresses [4]. It is therefore evident that the RE process has important results for the overall success of the project. In order to improve RE processes, the current practices need to be examined. Understanding and modelling current RE processes is an important step towards improving RE practice and therefore increasing the success of software projects [5]. Studies of current RE practices and the areas for improvement have concluded that the issues were organisational and non-technical in nature, for example, document management and managing uncertainty [6]. Some of the existing software process definition studies have focused on constructing prescriptive models, rather than first examining the descriptive models in current practice [5]. This paper examines the performance of our model with existing model and model this RE process models in actual RE practice. Before modelling current RE practices, a review of existing descriptive RE process models in literature provides an indication of common RE activities and their sequence. However, these models are different and sometimes conflicting in their nature, ranging from linear and incremental to cyclical and iterative in structure. Results from previous studies of RE practice have indicated that the RE process models in practice differ from commonly accepted RE process models in literature [7, 8]. Further complication arises with the idea that RE process models are situation dependent, affected by the customer-developers relationship [9, 10], the product, technical maturity, disciplinary involvement and culture of the organisation [11]. This paper also provide insight into the gap between descriptive RE process models in literature and practice by constructing high-level data analysis of the RE processes at two Indian companies and comparing these to the performance of our RE process models. The models represent the activities in the RE process and not additional factors, such as the three dimensions of RE identified by one of the researcher [12, 13]. Requirement engineering is a very important activity, which can affect the entire activity of software development project [15]. In this paper we present literature review in Section 2. The research methodology of this research paper is presented in section 3. 2
3.
International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME Section 4 describes finding of our research presented in this paper. In continuation, section 5 present our research boundary and future work and finally section 6 presents the concluding remarks. 2. LITERATURE REVIEW ON RE PROCESS MODELS Quality of requirement engineering process model plays a key role in development of software products. In this paper we use some existing RE process models for the comparisons with our RE process model. These three models were selected for their different structures: linear, linear with iterations between some activities, and linear with iterative. Within these models, common RE activities, such as elicitation and analysis, are combined under different headings, but still follow a similar linear transition. Two such linear models were selected for use in this research. Two of the researchers have suggested a conceptual linear RE process model, which indicates iterations between some activities. They state that the activities in the model overlap and are often performed iteratively [11]. One of the researchers provides a purely linear RE process model. It does not indicate the overlapping or iterations of activities [9]. The RE activities are categorised under different headings, however the linear progression resulting in documentation is common to both models. One of the researchers acknowledges that the RE process is situation dependent and discusses different customer-developer relationships and their corresponding RE processes [9]. While literature tends to portray the RE processes as linear, non-linear/iterative models have also been suggested [12]. The third model selected for use in this research is our RE process model, which depicts the RE process as iterative and cyclical in nature [15]. Existing model demonstrates the interactions between elicitation, specification, validation, the user and the problem domain [9, 11]. While similar activities to the two models already discussed appear in our model, the order in which they occur is non-linear and suggests a cause and effect relationship between them. Our RE model provides a purely iterative RE process model which is shown in figure 1. It does not indicate the overlapping or iterations of activities, suggested by the existing RE model [11]. It consists of mainly four phases, 3
4.
International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME namely; requirement elicitation and development, documentation of requirements, validation and verification of requirements, and requirement management and planning. Requirement elicitation and development phase includes requirement analysis and allocation and flow down of requirements. Documentation of requirements includes identification of requirements and software and system requirement specification. Validation and verification of requirements phase is concerned with conforming the documented requirements. The requirement management and planning phase controls the continuously changing requirements. Each of these activities is further detailed in the following sub sections. The proposed process describes requirements engineering for software development systems in which requirement engineering must be a part of the software development process [15]. Customer Business requirement Information requirements Requirements Security requirements User requirements Constraints Standards Requirement Elicitation Documentation Validation and of Verification of and development Requirements Requirements Requirement analysis Requirement Identification Validation Allocation and flow down Software Requirement Software requirements Specification Verification System Requirement Hardware requirements specification Modified Requirement Management & Software development Planning phases Figure 1 Requirement Engineering Process Model [15]. Existing studies of RE processes in practice have indicated that the systematic and incremental RE models presented in literature do not reflect the RE processes in current practice. For example, some researcher found that the RE process in their case study did not occur in a systematic, smooth and incremental way, but was opportunistic, with irregular simplification and restructuring of the requirements model when it reached points of high complexity [7]. Furthermore, some of the researchers performed a case study in the field but could not produce a massive RE process model of RE activities, as 4
5.
International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME they were too heavily intertwined and not seen as separate tasks by the participants of the study [8]. RE field studies have also gathered conflicting results as to the status of RE process standards in organisations. Two of the researcher examined the 15 RE processes in industry and found that most participants saw RE as an ad hoc process, with only some using an explicitly defined RE process or customising a company standard RE process [16]. Furthermore, studies of web development projects have also shown that RE is occurring an adhoc manner [17, 18]. In contrast to these findings, concluded that organisations tend to use standard RE processes, as they are thought of as best practices [5]. 2.1 RE PRACTICES The following seven common activities that occur during the RE process are referred to in this research paper. These RE activities were used in the questionnaire to allow separate tasks to be identified, hence preventing the issue of merged activities [8]. Project Creation: Project creation is the activity of setting up a project to develop a new product or to modify and existing product. Elicitation: Elicitation refers to gathering the requirements of the system from different stakeholders. Boundaries, identification of stakeholders, goals and tasks performed are discovered in this phase [21]. Interpretation and Structuring: Following the elicitation of the requirements, they are interpreted, structured and analysed. The requirements are then documented. This phase is discussed separately; however it is often interleaved with requirements elicitation, as some analysis invariable takes place in the elicitation process [11]. Negotiation: The negotiation phase consists of the requirements engineers negotiating with the stakeholders to agree about the requirements definitions in the requirements documentation [11]. Verification and Validation: Verification and validation of requirements aims to check that the requirements accurately represent the needs of the system and that they are complete, correct and consistent [3]. The technical experts or quality assurers also review the requirements. 5
6.
International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME Change Management: Change management makes certain that similar information is gathered for each change and that the overall costs and benefits of proposed changes are reviewed [11]. Therefore, change management involves evaluation of risks and impacts [21]. Requirements Tracing: Requirements tracing is used to track the origins of each requirement, so that if a change has to be made to a design component, the original requirement can be located [22]. 3 METHODOLOGIES 3.1 RESEARCH METHOD The basic goal of this paper is to discover and understand RE models in practice and compare performance measurement between existing models and our proposed models. For this, a questionnaire instrument was selected in order to collect the large amount of data required to gain a comprehensive understanding of the RE process [19, 20]. The questionnaire consists of (1) background details of the participant, company and project, (2) the RE process, and (3) RE techniques used. Many closed-ended questions were used to minimise the length of the questionnaire. Open-ended questions were used where it was important for participants to answer in their own words. The questionnaire was administered to each participant in an interview session, with the researcher and one participant present. The participant was asked to complete the written questionnaire and add any additional verbal information. The use of interview sessions allowed for participants to clarify meanings of the terms and questions used, ensuring that they had a clear understanding of what was being examined. The duration of the interviews was between 60 and 90 minutes, with the differences in time resulting from the amount of additional information added verbally by the participant and the use of contingency questions in the questionnaire. The interviews took place at prearranged times in private meeting rooms at the companies’ premises to maintain a quiet, undisrupted environment, which was consistent for every interview. A total of six interviews have been conducted at two companies, operating in the manufacturing and financial industries. Three interviews were conducted respectively. 6
7.
International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME The participants were primarily in a project management or business analyst role, with responsibility for RE activities on the relevant project. 3.2 CASE STUDY Company A is a large company in the manufacturing industry. Less than 1% of staff works in the information technology (IT) department. Three projects conducted by the IT department were examined. The objective of project α1, a large project, was to implement an enterprise resource planning (ERP) system. Project α2, a medium project, had the aim of upgrading all systems, particularly the ERP system, for the introduction of the Goods and Services Tax (GST). Project α3, a small project, had the purpose of implementing enhancements to an existing sales promotions management system. All three projects produced a customer-specific business system for an internal customer and had direct contact with the customer throughout the project. The customer-developer relationship for these projects is considered to be similar to the scenario, ‘responding to a business centre within the same organisation’, suggested by some researchers, however there is no specific RE process model identified for this scenario. Our study summarises the project characteristics which shows the project α1 is large project having near about 75 project members in which 60% of members are technical and this project is easily accessible by the user. The project α1 having medium non-RE tool support. In this way project α2 is medium project and it has 25 project members in which there are 16 members having technical skills. Project α2 is easily accessible to the user and it has low non- RE tool support. In project α3, that is small project. It has 10 project members in which 8 persons are technical hand. It is easily accessible and this project having low non- RE tool support (Table-1). 7
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International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME Table 1. Characteristics of Projects at Company A and Company B Project Size Project Effort Technical Special Customer Non-RE Members per background quality Access tool Month of Project requirements support Members α1 Large 30-115 621 60% High Easy Medium Performance α2 Medium 15-29 28 35% Legal Easy Low Compliance α3 Small 5-15 5 78% High Easy Low Performance β1 Medium 10-15 114 95% System Easy Medium Availability β2 Small 5-15 12 65% High Normal Low Performance β3 Medium 10-15 26 95% System Easy Medium Availability Company B is a large company in the finance industry. Approximately 20% of staff works in the IT division. Time was a priority for all three projects. For projects β2 and β3 this is attributable to the recent move towards iterative, shorter development cycles with fixed deadlines. Project β1 had the aim of developing a customised website for institutional clients and asset consultants, with content such as interactive performance data. The objective of project β2 was to replace an existing customer relationship management (CRM) system with a new version from the same vendor. The existing system was so customised that it was more cost-effective to start again, than to upgrade the existing system. Project β3 implemented a new equities trading system vendor solution. As for Company A, the customer-developers relationship for these projects is considered to be alike the scenario, ‘responding to a business centre within the same organisation’, suggested by some of the researchers. Our analysis summarises the project characteristics which shows the project β1 is medium project having near about 12 project members in which 95% of members are technical and this project is easily accessible by the user. The project β1 having medium non-RE tool support. In this way project β2, a small project has 10 project members in which there are 65% of members having technical skills. Project β2 is normal accessible to the user and it has low non- RE tool support. In project β3, that is medium project and 8
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Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME in which all of the members are technical hand. It is easily accessible and this project having medium non- RE tool support. 4 PRELIMINARY FINDINGS The results from the questionnaire were used to describe the state of the art of RE practices at the companies. Brief discussions of the findings are as follows: company A had no standard RE process documentation, therefore the RE practices differed between each process. There was a medium level of RE process awareness in the larger projects, α1 and α2, with many RE activities performed explicitly or implicitly. The RE process awareness in the small project, α3, was low, with only some of the RE activities explicitly or implicitly performed. The processes in the large and medium projects, α1 and α2, were structured, as several RE phases occurred with allocated documentation. It was evident that the RE process in the smallest project, α3, was ad hoc, with a low level of RE process awareness and no dedicated role for RE. The results indicated that this role was influenced by the size of the project, since the larger project allowed for greater separation of tasks between the roles of business analyst and project manager. Projects and α2 both had a medium level of tool support, as no specific requirements management or modelling tools were available at Company A. Project α3 had a low level of tool support, which is consistent with the unstructured, ad hoc nature of the RE process. Projects α1 and α2 had a high level of documentation awareness, as all the suggested RE documentation was produced where relevant. Project α3 was classified as having a medium level of documentation awareness, as only three of the suggested RE documents were produced. General project methodology did exist at Company B. There was a company standard methodology; however, there had been a move towards the Microsoft Solutions Framework (MSF) methodology. There was an inconsistent response to whether company standard documentation existed for the RE process, with two respondents indicating that no such standard existed and two indicating that standards did exist, however the size of these documents differed dramatically. Therefore, even if a company standard exists, it is not widely used. The RE process awareness for projects β1 and β2 were medium, with many RE activities performed explicitly and implicitly. Project β3 9
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International Journal of
Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME had a high level of RE process awareness with most RE activities performed explicitly and the others implicitly. The RE process for all three projects was structured, with several RE phases occurring with allocated documentation. All three projects had the role of business analyst defined for RE. In project β2 the business analyst was also performing the project management role. This is similar to project α2, in which the project manager was also performing the RE activities. In both instances, having a smaller project team resulted in the merging of roles, that may have been separated in a larger team. All three projects had a medium level of tool support for the RE activities. No project used specific requirements management or modelling tools. Participant β1 commented that they had used a requirements tracing tool at their former company. The documentation awareness level was generally high, with projects β2 and β3 having a high level and β1 at a medium level. One of the participants commented on the lack of time available to maintain the documentation, due to the move towards three-month cycles. 4.1 REQUIREMENTS ENGINEERING ACTIVITIES Participants were asked whether each of the seven RE activities were performed explicitly (required and definite), implicitly (performed but indefinite) or not at all in their projects. The variance between the ways RE activities are performed is consistent with the lack of RE process standards in Company A and B. There were clear differences between the projects at Company A. Elicitation was the only activity performed explicitly in every project. Negotiation was performed implicitly in every project. Interpreting & Structuring was performed in all projects, but differed between implicit and explicit. Project Creation, Verification & Validation, and Tracing ranged from being performed explicitly, implicitly to not at all. Company B revealed a more consistent performance of RE activities, but differences still occurred between projects. Elicitation and Negotiation were performed explicitly in approximately in all projects. Change management was performed implicitly in all projects. Project Creation and Interpreting & Structuring were performed in all projects, but changed between explicit and implicit. Verification & Validation was either explicitly or not performed. Tracing varied between explicitly, implicitly and not performed. Of the seven suggested 10
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Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME activities, Elicitation was the only RE activity performed explicitly in every project. Interpreting & Structuring, and negotiation were also performed in every project, but varied between implicitly and explicitly performed. It was established that there was some doubt whether project creation was seen part of the RE process. 4.2 PERFORMANCE MEASUREMENT The RE process models for each project were compared to the three models selected from this paper. As detailed in section 2, one of the RE model depicts the RE process as linear, but with iterations occurring between individual activities [11]. Second RE model presents the RE process as linear, with no iterations occurring [9]. Our RE model represents the RE process as a completely iterative and linear process, with activities depicted with cause and effect relationships, as opposed in a sequence [15]. In our study we found that, project α1 is iterative in nature and company has decided to use continuous RE process to complete the project. The company A used the RE model that is linear but iterative between some activity [11]. The project α1 give average performance. In Project α2, RE process is just start in project lifecycle. RE model is used is linear in structure, project α2 is also give average performance. Project α3 provide good performance to the company because in this project company used RE model that is linear than iterative. Project β1 has produced same result. In project β2, linear RE model is used which gave average performance. Lastly β3 project uses continuous RE process in throughout project life cycle, and company B used RE model that is linear then iterative. This project is also give good performance same as project α3 and β1 (Table-2). Table 2. Requirements Engineering Activities Performed at Company A and B Project Project Elicitation Interpreting& Negotiation Verification Change Tracing Creation Structuring & Management Validating α1 No Explicit Explicit Implicit Explicit Explicit Implicit α2 Explicit Explicit Implicit Implicit Implicit Implicit Implicit α3 Implicit Explicit Explicit Implicit No No No β1 Implicit Explicit Explicit Explicit No Implicit No β2 Explicit Explicit Explicit Explicit Explicit Implicit Implicit β3 Implicit Explicit Explicit Explicit Explicit Implicit Explicit 11
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Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME 4.3 DISCUSSION AND FUTURE WORK One of the RE model was a good representation of generally linear RE process models that had some iteration of activities [11]. The purely linear nature RE process model did not indicate any iteration of activities [9]. Projects that made use of prototyping required a more iterative depiction of that part of the process. Most of these projects followed a generally linear process until the prototyping phase, which then resulted in an iterative process. Our model was a good representation of a linear process and the iterative nature of prototyping [15] . By analysis of above study it is clearly stated that the project using iterative as well as linear approach was successful in business context (Table-3). Table 3 Performance Measurement of Requirements Engineering Processes in different projects. Project RE in Project Model Structure RE Model Performance Lifecycle used α1 Continuous Iterative (K) Average performance α2 Start Linear (M) Average performance α3 Continuous Iterative (P) good performance β1 Continuous Linear then iterative (K), (P) good performance prototype β2 Start of each Linear (K), (M) Average iteration performance β3 Continuous Linear then iterative (K), (P) good performance prototype This research is essentially an exploratory study, so there are many opportunities for further research in this area. This study could be expanded to include a wider spectrum of industry and projects of different customer-developer relationships. Results could be gathered from other roles within the project team, such as the developers, to identify whether the process is perceived differently from other perspectives. Participants could also be involved in the process of comparing the company’s RE process models to those from literature. Future studies could attempt to correlate the use of different RE process models with project success. Additionally, the relationships between explicit and implicit activities and project success could also be studied to identify if there is a link 12
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Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME between the nature of activities and the success of the RE process. This research could also lead into the area of RE process improvement, by identifying areas of strength and weakness in current RE processes. 6. CONCLUSIONS The two existing RE process models are compare with our RE process models and also they compared to the RE process in each project. It was determined that none of these models were a good representation of every RE process but one of the RE process model represented some RE processes better than others [15]. While it is has been established that one model cannot represent all processes, a purely linear model was not as successful as one that showed iterations of activities. Conversely, a purely iterative model neglected to represent a progression of RE activities. Therefore, an RE process model would benefit from a combination of linear and iterative structures which is shown in our RE model [15]. This outcome is based on the result which is found when we get the project result. In that result it is clearly seemed that the project α3, β1, β3 is successful because in that project our RE model is used for requirement engineering. REFERENCES 1. Berry, D. M. and Lawrence, B. (1998), Requirements Engineering, IEEE Software, Vol. 15, No. 2, pp.26-29. 2. Leite, J. C. (1987), A Survey on Requirements Analysis, Advanced Software Engineering Project Technical Report RTP-071, University of California at Irvine, Department of Information and Computer Science. 3. D. Pandey, U. Suman, A. K. Ramani,(2008), “Impact of Requirement Engineering Practices in Software Development Processes for Designing Quality Software Products”, National Conference on NCAFIS, DAVV, Indore. 4. Boehm, B. W and Papaccio, P. N. (1988), Understanding and Controlling Software Costs, IEEE Transactions on Software Engineering, Vol. 14, No. 10, pp. 1462-1477. 5. Madhavji N. H., Holtje D., Hong W. and Bruckhaus T. (1994), Elicit: A Method for Eliciting Process Models, Proceedings of the 1994 CAS Conference, Toronto, Canada, 31 October – 3 November. 13
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Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME 6. Lubars, M., Potts, C. and Richter, C. (1993), A Review of the State of the Practice in Requirements Modeling, Proceedings of the IEEE International Symposium on Requirements Engineering, San Diego, USA, pp. 2-14, IEEE Computer Society. 7. Nguyen, L. and Swatmann, P. A. (2000), Managing the Requirements Engineering Process, School of Management Information Systems, Deakin University, Geelong, Australia. 8. Houdek, F. and Pohl, K. (2000), Analyzing requirements engineering processes: a case study Proceedings of the 11th International Workshop on Database and Expert Systems Applications, Greenwich, UK, 6-8 September, pp.983-987. 9. Macaulay, L. A. (1996), Requirements Engineering, Springer-Verlag. 10. D. Pandey, U. Suman, A. K. Ramani. (2010) “Social-Organizational Participation Difficulties in Requirement Engineering Process- A Study”, Software Engineering Journal, Bioinfo Publication, Navi Mumbai. 11. Kotonya, G. and Sommerville, I. (1998), Requirements Engineering – Processes and Techniques, John Wiley & Sons, UK. 12. Pohl, K. (1994), The Three Dimensions of Requirements Engineering: A Framework and its Applications, Information Systems, Vol. 19, No. 3, pp. 243- 258. 13. Martin, S. R. (2002), Requirements Engineering Processes in Australian Practice, Unpublished Thesis, School of Information Systems, Management and Technology, University of New South Wales. 14. Loucopoulos, P., and Karakostas, V. (1995), System Requirements Engineering, McGraw- Hill Book Company Europe. 15. Pandey, D., Suman, U.,Ramani,A. K.(2010), An Effective Requirement Engineering Process for Software Development, Internation Conference on ARTCom, ACEEE, Kerla. 16. Hofmann, H. F. and Lehner, F. (2001), Requirements Engineering as a Success Factor in Software Projects, IEEE Software, Vol. 18, No. 4, pp.58-66. 17. Lowe, D. and Eklund, J. (2001), Development Issues in Specification of Web Systems, 6th Australian Workshop on Requirements Engineering, 22-23 November, University of New South Wales, Sydney, Australia. 14
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Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 1, Number 2, Sep - Oct (2010), © IAEME 18. Dang, T. K. (2000), Understanding the Requirements Engineering Process for Hypermedia Systems, School of Information Systems, Technology and Management, University of New South Wales, Australia. 19. Blaikie, N. (2000), Designing Social Research, Polity Press. 20. Galal, G. H. and McDonnell, J. T. (1998), A Qualitative View of Requirements Engineering, Proceedings of the 3rd Australian Conference on Requirements Engineering, October, Deakin University, Geelong, Australia. 21. Nuseibeh, B. and Easterbrook, S., (2000), Requirements Engineering: A Roadmap, The Future of Software Engineering, Anthony Finkelstein (Ed.), ACM Press. 22. Davis, A. M. (1993), Software Requirements: Objects, Functions, and States, Prentice Hall. El Emam, K. and Madhavji, N. H. (1995): A Field Study of Requirements Engineering Practices in Information Systems Development, Second International Symposium on Requirements Engineering, York, England, IEEE CS Press, pp.68-80. 15
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