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When used skillfully it can produce welldocumented, accurate information systems. It recognises the following stages in the systems development lifecycle. SSADM revolves around the use of three key techniques. Logical Data Modelling: Data Flow Modelling:
Effective use of skills: SSADM does not require very special skills and can easily be taught to the staff. Normally, common modelling and diagramming tools are used.
Better quality: SSADM reduces the error rate of IS by defining a certain quality level in the beginning and constantly checking the system. Improvement of productivity: By encouraging on-time delivery, meeting business requirements, ensuring better quality, using human resources effectively as well as trying to avoid bureaucracy, SSADM improves the overall productivity of the specific project and the company.
Cuts costs: SSADM separates the logical and the physical systems design. So the system does not have to be implemented again with new hard -or software. SSADM puts special emphasis on the analysis of the system and its documentation. This causes the danger of over-analysing, which can be very time and cost consuming. Especially with large systems, the outline diagram can become very unclear, because all relevant data flows have to be included.
However, large companies carrying out various projects, can profit from the fact that SSADM gives the possibility to reuse certain techniques and tools for other projects. This reduces cost and time spent enormously in the long run.
So, the danger of spending too much money on analysis can be compensated by the reuse of the developed systems and experience gained. Small or medium sized companies are normally not involved in such high volume business projects.
The great advantage of smaller companies is, normally, that they are more flexible and less bureaucratic than large companies.
Although SSADM sees its long term benefits in more flexibility and time saving reuse of certain methods , there are still doubts about whether this could be a valuable method for medium sized companies. If a system is being developed, for which standard methods and CASE tools can be used and it turns out that inhouse development is much more expensive and more time consuming, SSADM is a good solution.
Another solution could be to produce cut-down versions of SSADM in order to make it suitable for another project, which is probably smaller. So, the company could benefit from the fact that the staff is already trained and experienced. SSADM combines three methods complementing each other to a systems development cycle: Within this process the data requirements of an IS are investigated, identified, modelled and documented. The logical data structure LDS is formed. It gives information on the entities that need to be put down and on the relationships between these entities.
Data Flow Diagrams are used to describe the system in different levels of abstraction. They model functionality and show how input transforms into output. Entity Relation Diagrams represent objects and their relationships. They normally show the important entities and relations but no attributes. Again a comprehensive DFD is produced. The transformation of the processes, however, are more likely to be represented in a distinct description of processes.
SSADM Diagram Software - Structured Systems Analysis and Design Methodology
Furthermore, the DFD shows the data stores, which could be directories, folders, servers and the way they are accessed. A description of the external entities persons or companies that do not belong to the systems but are relevant to it should be included, too. Finally, data flows between processes, data stores and external entities are also represented.
The process of Entity Event Modelling deals with the business events that have an impact on each entity and its surrounding. This information is put down in a so called Entity Life Histories 16 file.
Finally, for each process, data flow, data store and external entity there is an entry in the so called data dictionary. This data dictionary is the central catalogue of data within an IS. It shows the structure, storage, connections, origin and use of data. The data dictionary aims to give the possibility of describing the elementary data in an appropriate verbal way.
Although this system will meet its requirements perfectly and be of very good quality, the use of a formal structured methodology like SSADM is very time-consuming. Especially for small or medium-sized companies such huge delays can lead to serious financial and resource problems, even to bankruptcy. The next paragraph will give an insight in the different stages of SSADM and when they have to be completed.
This is probably the most important reason, why SSADM is, on the one hand, very time-consuming, but, on the other hand, widely regarded as an improvement to the quality of a system. Investigation of economical and technical feasibility.
The problems are defined and the project identified. The best business option is chosen out of up to 5 propositions. Definition of broad requirements, investigation of current data and processing.
The project is being identified and costs calculated.
SSADM Diagram Software - Structured Systems Analysis and Design Methodology
This stage is especially important as any omissions will have a bad effect on the whole project. Formulation of business systems requirements. Evaluation of the implication and benefit of each proposed option. Identification of functional and non-functional require- ments in detail. Proposal of new methods and techniques in order to describe processing and data structures. Stage 4: Technical systems options: Definition and selection Maintenance of specific technical options, such as different methods of implementation.
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