- Title
- A methodology for modernising legacy web applications: subtitle if needed. If no subtitle follow instructions in manual
- Creator
- Malgraff, Maxine
- Subject
- Management information systems
- Subject
- Information technology
- Subject
- Application software -- Development
- Date Issued
- 2024-04
- Date
- 2024-04
- Type
- Master's theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/64148
- Identifier
- vital:73657
- Description
- One problem faced in the Information Systems domain is that of poorly maintained, poorly documented, and/or unmanageable systems, known as Legacy Information Systems (LISs). As a result of the everchanging web development landscape, web applications have also become susceptible to the challenges faced in keeping up with technological advances, and older applications are starting to display the characteristics of becoming Legacy Web Applications (LWAs). As retaining business process support and meeting business requirements is often necessary, one method of recovering vital LWAs is to modernise them. System modernisation aims to recover business knowledge and provide an enhanced system that overcomes the problems plagued by LISs. When planning to modernise an LWA, guidance and support are essential to ensure that the modernisation exercise is performed efficiently and effectively. Modernisation methodologies can provide this required guidance and support as they provide models, tools and techniques that serve as guiding principles for the modernisation process. Although many modernisation methodologies exist, very few offer a comprehensive approach to modernisation that provides guidelines for each modernisation phase, tools to assist in the modernisation and techniques that can be used throughout. Existing methodologies also do not cater for cases that include both the LWA and migration to modernised web-specific environments. This research study aimed to investigate modernisation methodologies and identify which methodologies, or parts thereof, could be adapted for modernising LWAs. Existing methodologies were analysed and compared using the definition of a methodology, as well as other factors that improve the modernisation process. Modernisation case studies were reviewed to identify lessons learned from these studies so that these could be considered when planning an LWA modernisation. The ARTIST methodology was the most comprehensive modernisation methodology identified from those researched and was selected as the most appropriate methodology for modernising an LWA. ARTIST was modified to the mARTIST methodology to cater for web-based environments.mARTIST was used to modernise an existing LWA, called OldMax, at an automotive manufacturer, anonymously referred to as AutoCo, to determine its ability to support the modernisation of LWAs. Additional tools and evaluation methods were also investigated and used in place of those recommended by ARTIST, where deemed appropriate for the modernisation of OldMax. Limitations set by AutoCo on the hosting and technical environments for the modernised application also required ARTIST to be adapted to better suit the use case. The steps taken during this modernisation were documented and reported on to highlight the effectiveness of mARTIST and the tools used. The result of this modernisation was that the modernised web application, ModMax, was evaluated to determine the success of the modernisation. The modernisation of OldMax to ModMax, using the mARTIST methodology, was found to be successful based on the criteria set by the ARTIST methodology. Based on this, mARTIST can successfully be used for the modernisation of LWAs. To support future modernisations, an evaluation method for determining technical feasibility was developed for LWA, and alternate tools that could be used throughout modernisation exercises were recommended.
- Description
- Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2024
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (xvi, 196 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Science
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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Collections
NMU School of Computer Science, Mathematics, Physics and Statistics
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Malgraff, M.pdf | 5 MB | Adobe Acrobat PDF | View Details Download |