A Rationale-based Model for Architecture Design Reasoning

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7.2. An empirical study to validate the AREL model Using the EFT system, a comparison is made between the original design specifications that do not contain structured design rationale, and the AREL model. The comparison is to validate that the AREL representation is effective in facilitating the understanding of the architecture design of this case study. Although this validation cannot be generalised to all kinds of architecture design at this stage due to the single case limitation, it gives an indication of its potential. 7.2.2 About the empirical study The validation of the AREL representation and its effectiveness is done by way of using expert opinions. Expert-opinion elicitation is defined as a heuristic process of gathering information and data or answering questions on issues or problems of concerns [5]. This type of validation has been applied to validating requirement process improvement model by a panel of experts [9]. We sought expert opinion instead of using students as test subjects because the experts have experiences in the domain area as well as architecture design. Their knowledge can provide a more reliable feedback to support our study. Furthermore, experts have a much wider exposure to different design methodologies and tools and can provide valuable insights towards this study. We call on experts to mock carrying out design changes to the EFT system. Through this exercise, we gather the evidence to test whether or not AREL provides useful architecture design rationale to aid the understanding of system and software architecture. In a number of face-to-face interviews, the experts were asked about the design and design reasoning of the EFT system, with and without the AREL model. Then, the answers were analysed. The experts were also asked to comment on the usefulness of the the AREL method for capturing design rationale. The steps that were taken in the empirical study are listed below: 1. The design rationale for parts of the EFT system are retrospectively modelled using the AREL modelling method. The EFT design using AREL modelling is described in Section 7.1. 2. Original specifications are presented to the experts without the support of AREL. 3. Experts are asked four sets of design questions. 4. Answers from the experts are recorded. The experts would indicate whether the answers come from searching the specifications, memorising, deducing, guessing or any of the combinations. 123
7.2. An empirical study to validate the AREL model 5. Present the AREL model to the experts and discuss the design reasoning captured by AREL. 6. Compare the two sets of answers (with and without AREL support) to see if additional understanding are obtained with the use of the AREL model. 7. Interview the expert to obtain additional comments on advantages and disadvantages of AREL modelling. 7.2.3 Selecting experts Experts who were associated with the EFT system were asked to participate in this research. Use of expert opinion is dependendable because of the domain knowledge they possess [96]. We invited nine experts to participate (3 female and 6 male), all of whom have been working in this area for many years and can provide reliable assessment. On average, the experts have 16.6 years of IT experience (a maximum of 24 years and a minimum of 12 years), an average of 10.8 years of experience as an architect and designer (a maximum of 16 years and a minimum of 5 years), and an average of 7.7 years of experience in designing payment systems (a maximum of 18 years and a minimum of 1 year). The expert panels are selected for their experience with architecture design and their working in the electronic payment system field for a number of years. They are characterised by the following: • They have participated in the design, development and testing of the EFT systems or similar types of systems. Therefore, they were familiar with the functionality of such payment systems. • They have had extensive design and development experience. • They are willing to commit needed time and effort. • They are willing to provide evaluations and interpretations of the new approach. Owing to the specialised background knowledge required and the confidentiality of the system, there is a limitation as to who can be recruited. Consequently, we decided to use non-probabilistic sampling techniques and convenience sampling method instead of random sampling [80]. Availability sampling operates by seeking responses from those people who meet the inclusion criteria. They are available and willing to participate in the research. The major drawback of non-probabilistic sampling techniques is that the results cannot be considered statistically generalisable to the target population, in this case software architects. 124
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A Rationale-based Model for Archite
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maintenance. These techniques can h
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Declaration This thesis contains no
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2.2.6 DoD Architecture Framework .
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5.4.6 Risk assessment in architectu
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8.2 The architecture rationalisatio
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12.2 Contributions . . . . . . . .
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6.10 ≪AR≫ and ≪AAR≫ Stereot
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11.13A Process to Synchronise Chang
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5.13 Design Rationale Helps Evaluat
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that architecture design is highly
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1.2. Research motivations and resea
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1.2. Research motivations and resea
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1.4. Structure of the thesis the ch
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Part I Problem Analysis 10
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2.1. Industry practice of design ra
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2.2. Architecture frameworks and de
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Chapter 3 Related work in design ra
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3.2. Why do we need design rational
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3.2. Why do we need design rational
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3.3. Existing methods for capturing
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3.4. Other related studies 3.3.7 Qu
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3.4. Other related studies evolutio
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3.5. How well design rationale meth
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3.5. How well design rationale meth
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Chapter 4 Research methodology and
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4.1. Software engineering research
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4.2. The chosen research and valida
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Part II Architecture Design Rationa
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on a regular basis. Their inputs ha
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5.1. Architecture rationale in the
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5.2. Survey methodology data collec
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5.3. Survey findings experience). I
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5.3. Survey findings Table 5.1: Fre
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5.3. Survey findings Business Goals
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5.3. Survey findings 5.3.5 Document
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5.3. Survey findings Table 5.8 summ
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5.3. Survey findings We used Spearm
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Page 99 and 100: Part III The Representation and App
Page 101 and 102: 6.1. A conceptual model for design
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Page 107 and 108: 6.3. Architecture elements Figure 6
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Page 117 and 118: 6.6. A UML representation of AREL a
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Page 121 and 122: 6.7. AREL usability AE by ≪AEsupe
Page 123 and 124: 6.8. Summary The AREL model is exte
Page 125 and 126: 7.1. The EFT system reasoning, a co
Page 127 and 128: 7.1. The EFT system The processing
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Page 137 and 138: 7.1. The EFT system Therefore, in a
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10.2. Building a BBN to represent a
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10.2. Building a BBN to represent a
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10.3. Reasoning about change impact
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10.5. Summary design object may cau
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11.1. Capturing architecture design
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11.1. Capturing architecture design
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11.2. Checking AREL models Figure 1
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11.3. Tracing AREL models Figure 11
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11.4. Analysing AREL with BBN • S
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11.5. Limitations Figure 11.13: A P
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Chapter 12 Conclusions 12.1 Summary
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12.2. Contributions reasoning metho
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12.2. Contributions implementations
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12.3. Future work architecture deci
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12.3. Future work to examine the co
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BIBLIOGRAPHY [10] B. W. Boehm, Soft
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BIBLIOGRAPHY [37] A. Eden and R. Ka
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BIBLIOGRAPHY [62] J. D. Herbsleb an
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BIBLIOGRAPHY [89] N. Lassing, D. Ri
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BIBLIOGRAPHY [115] D. L. Parnas,
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BIBLIOGRAPHY [142] Z. Simsek and J.
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BIBLIOGRAPHY [167] W. F. Tichy, N.
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Appendix A AREL Tool User Manual 1
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4.1 AREL Check Model When the Check
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4.2 AREL Model Tracing AREL model t
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Figure 9 - result of downward trace
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To initiate the graph’s creation,
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onto the diagram 14 Assign values t
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Useful Definitions The following ar
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) Some projects only c) Not at all
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19. I revisit architecture design d
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Complaint Procedure If you have any
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Privacy Protection Only investigato
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B. Exploring design reasoning. 1. W
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3. Why does the system use asynchro
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C. General Comments on AREL Modelli
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IEEE Computer Society Press. A. Tan
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A Rationale-based Model for Architecture Design Reasoning

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