Technology Selection for SPOs
Component base software system needs decisions on component origins for acquiring components. Normally, a component based software system entails the developing and assembling of the reusable components. However it has been an extremely challenging matter for the software developers to develop software with the minimum efforts (Abdullah, 2015). The entire effort process includes the prediction process of the efforts. In case of Government organizations as well, the characteristics of the software development process creates a negative impact on the project life cycle. The following literature review would thus consist of the software development life cycle and the issues regarding it that has so far been documented in articles by authors. This would be documented by the statement about the familiar findings that have been addressed in every one of these articles under review, announcement of the conclusions that can be taken out when the articles are combined to form and act as a single entity, overall message of the group articles and the research gap that has to be filled by the thesis.
Technology selection is a vital issue while any sort of processing of the potential value of a Software Producing Organization is concerned. Selecting the technology for it is also an increasingly important process that needs to be evaluated for further innovation, suitability and popularity for SPOs (Bansal, Kumar & Garg, 2017). The software development life cycle also depends on the project manager and the private sectors suffer difficulties for the constraints they face in the project life cycle. The constraints are produced due to the huge range of differences that prevails between the public and private organizations. These differences are carried in regards to the aspects they are to produce. There are some software development projects that are there in the government institutes that have the ability to make the process much more complicated by impacting negatively on the developmental process. The findings have also implemented the idea that these negative impacts on the developmental process can be curbed with the implementation of management procedures that would be helpful to the organization along with the project. Appropriate project life cycle model ensures a much more comprehensive and effective management for the project planning and management during every phase of the software development project life cycle (Aruna, Reddy & Sunitha, 2016). It has also been found that software development with the least amount of effort also has been an increasingly demanding task for the developers of the software. There have been numerous software effort estimation models that have been developed in the past but it has also been noticed that there have not been any successful applications in these regards (Stark, 2015). The articles have presented a latest study that has focused on the development of a fuzzy logic that has the ability to develop a criteria with multiple decision making approach by putting together Fuzzy Set Theory and Weighted Distance Based Approximation.
All the articles can be presented as a single article taking on the subject for the software development life cycle and the models that helps in addressing as well as solving the problems that arise during the development process. Implementing different strategies to the different Software Development Life Cycle Models can also be considered as the ways to curb the negative impact on the entire software implementation project so that they could be finished with the process of development without any lag in between. These papers produce ways by which these can be seamlessly implemented without any difficulties. In addition to this, there have been other problems also that have been identified to be the focus point of problems arising between the stages of software development life cycle (Badampudi, Wohlin & Petersen, 2016). There has been also minimum effort that has been a challenge in developing proper software. The software estimation models that have been urbanized in the past in order to serve the problems could not establish a feasible solution that would enable minimum effort in developing proper software. There has been successful implementation of a multiple fuzzy criteria decision making approach by integrating a Fuzzy Set Theory and Weighted Distance Based Approximation (Singh & Pandey, 2017). This implementation had been successful in showing the consistency of existing methodologies and checking whether the existing methodologies check the criticality of the selection criterion.
Project Management Constraints
The software scenario has been very significant in accordance to the prospective of a business arena. It has grown to be a important module for all kinds of software and systems effort estimation of its fundamental significance for the well balanced management of looming software (Pandey & Banerjee, 2015). In terms of the software, the management is necessary since the immediate augmentation of the need of complex software systems happening at a huge rate. Effort estimates can be used as input at various stages of the software based on the development process as project plans, iteration plans, budgets, and analyses of the investments. Therefore, the reports about the articles state that the success of any software relies to some extent on the estimation of the effort (Alshamrani & Bahattab, 2015). However, this effort needs to be perfect. The inaccurate estimations can result in faulty development of a software because it can result in bad quality software, misuse of the software, delivery time delay and even result to contract cancellation, and other problems as well. Evaluation framework model development would suggest ways by which these problems can be tackled.
The papers under review have several gaps in the literature. The first point has been figured out as the proper description being reviewed in the papers. Following to this, the next gaps have been the software development life cycle also depends on the project manager and the private sectors suffer difficulties for the constraints they face in the project life cycle. The constraints are produced due to the huge range of differences that prevails between the public and private organizations (Yadav & Kumar, 2016). These differences are carried in regards to the aspects they are to produce. There are some software development projects that are there in the government institutes that have the ability to make the process much more complicated by impacting negatively on the developmental process. The findings have also implemented the idea that these negative impacts on the developmental process can be curbed with the implementation of management procedures that would be helpful to the organization along with the project.
Conclusion
It can be concluded from the book report that the software development life cycle depends on various factors for its finishing point altogether. The following literature review thus consisted of the software development life cycle and the issues regarding it that has so far been documented in articles by authors. This documented by the statement of general conclusion that have been dealt with in each of these articles under review, statement of the conclusions that can be waned when the articles are taken together as a single entity, overall message of the group articles and the research gap that has to be concluded with the help of the dissertation. Thus it can be concluded that there are ways that the problems regarding the SDLC procedures can be solved and implemented in a much more feasible way.
Reference
Abdullah, D. (2015). Digital Library Information System Development at Malikussaleh University with SDLC (System Development Life Cycle). International Journal of Computing and Technology-IJCAT, 2(7), 232-239.
Alshamrani, A., & Bahattab, A. (2015). A comparison between three SDLC models waterfall model, spiral model, and Incremental/Iterative model. International Journal of Computer Science Issues (IJCSI), 12(1), 106.
Aruna, E. R., Reddy, A. R. M., & Sunitha, K. V. N. (2016). Survey: Classification & Validation of Security Patterns in SDLC.
Badampudi, D., Wohlin, C., & Petersen, K. (2016). Software component decision-making: In-house, OSS, COTS or outsourcing-A systematic literature review. Journal of Systems and Software, 121, 105-124.
Bansal, A., Kumar, B., & Garg, R. (2017). Multi-criteria decision making approach for the selection of software effort estimation model. Management Science Letters, 7(6), 285-296.
Pandey, A., & Banerjee, S. (2015). Search based software testing: An emerging approach for automating the software testing phase of SDLC. Proc. ICRCWIP.
Singh, V., & Pandey, D. (2017). Problems Associated with Requirement Elicitation Process: An Overview. International Journal, 8(4).
Stark, J. (2015). Product lifecycle management. In Product Lifecycle Management (Volume 1) (pp. 1-29). Springer, Cham.
Tamrakar, S., & Sharma, A. (2016). An Effect of Particle Swarm Optimization on SDLC. methods.
Yadav, P., & Kumar, A. (2016). Software Testing with Different Phases of SDLC. International Journal of Recent Trends in Engineering and Research, 2(3), 118-123.
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