Analysis and Testing of Ajax-based Single-page Web Applications

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Figure 1.5 The synchronous interaction pattern of a classical web application (top) compared with the asynchronous pattern of an AJAX application (bottom). Taken from Garrett (2005). 8 1.2. Ajax
Figure 1.6 Screen shot of Google Suggest. As a web user types search keywords, the application retrieves suggestions from the server at the background, and shows them to the user without having to refresh the whole page. The term Ajax served to highlight and give a name to a new breed of web applications that could be seen as a further evolution of the classical web. Although many of the technologies Ajax is based on are not new, this naming by Garrett made web developers aware of the possibilities for adopting a new way of developing applications on the web. Figure 1.5 depicts the classical synchronous interaction pattern compared with the asynchronous pattern of an Ajax application. For more technical details we refer to Appendix A, which describes a simple single-page Ajax-based example application. Although there have been some disagreements (Koch, 2005) on what Ajax is exactly, how new it is, and which essential components the technology is constituted from, a general acceptance of the fundamental concepts has been achieved within the web community. The acceptance has mainly been driven by the many concrete Ajax examples Google has been working on (even before the term Ajax was coined) from Google Suggest (Figure 1.6), Google Maps, Gmail, to porting desktop applications like Word to web-based versions like Google Documents (Figure 1.7). When we take a look at such applications from a user’s perspective, the main difference, with respect to classical web applications, is the increased responsiveness and interactivity. A refresh of the entire page is generally not seen any longer for each user action and the interaction takes place at a much finer granularity level. When compared to RIA technologies such as OpenLaszlo, the main difference and advantage is that no plugin is required, since Ajax is based on web standards that modern browsers support already. Chapter 1. Introduction 9
Page 1 and 2: Analysis and Testing of Ajax-based
Page 3 and 4: Contents Preface List of Acronyms i
Page 5 and 6: 3.3.4 Single-page UI Model Definiti
Page 7 and 8: 6.3.2 Trigger . . . . . . . . . . .
Page 9 and 10: Preface our years have passed since
Page 11 and 12: List of Acronyms ASP Active Server
Page 13 and 14: Introduction A ccording to recent s
Page 15 and 16: Figure 1.2 Screen shot of the Mosai
Page 17 and 18: Figure 1.4 Screen shot of OpenLaszl
Page 19: DOM APIs, a technique that was call
Page 23 and 24: Figure 1.7 Screen shot of Google Do
Page 25 and 26: Reengineering Analysis & Testing Ar
Page 27 and 28: client/server and network-based env
Page 29 and 30: To the best of our knowledge, at th
Page 31 and 32: Table 1.1 ❳❳ ❳ ❳ ❳❳ Cha
Page 33 and 34: equally and we chose to use an alph
Page 35 and 36: A Component- and Push-based Archite
Page 37 and 38: Page Internet Application aRchitect
Page 39 and 40: XML message containing directives t
Page 41 and 42: server sends the data to the client
Page 43 and 44: • Code reuse: shared implementati
Page 45 and 46: Rest provides Ajax demands Large-gr
Page 47 and 48: work well, will lose customers (Off
Page 49 and 50: communication between client and se
Page 51 and 52: GWT uses an RPC style of calling se
Page 53 and 54: DOM Client Browser event update Aja
Page 55 and 56: Client Server Legend Interaction po
Page 57 and 58: User Interactivity User-perceived L
Page 59 and 60: User Interactivity User-perceived L
Page 61 and 62: and does not comply with the Resour
Page 63 and 64: 2.8.9 Design Models Figure 2.8 show
Page 65 and 66: of user tasks as first class entiti
Page 67 and 68: Migrating Multi-page Web Applicatio
Page 69 and 70: Web App 1 Page deltaChange viewChan
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gational and structural model of th
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Classic Web application Retrieve pa
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Algorithm 1 1: procedure start (Pag
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3.5.2 Identifying Elements The list
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Classification # of pages Home (Ind
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Figure 3.7 A candidate UI component
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target system. Even though the tech
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Third, we proposed a schema-based c
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Performance Testing of Data Deliver
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Figure 4.1 A screenshot taken from
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the user. Ideally, the pulling inte
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Streaming Figure 4.3 shows how the
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4.4 Experimental Design In this sec
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Mean Publish Trip-time (MPT) We def
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tributes to the complexity of contr
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8. Start the publisher and begin pu
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Figure 4.8 Sample Stock Ticker Appl
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Figure 4.9 Mean Publish Trip-time C
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4.6.3 Received Publish Messages Fig
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Figure 4.12 Mean Number of Received
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Figure 4.13 Percentage of data item
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with pull is higher than push. This
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this scenario, a data item will onl
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With the pull approach, achieving t
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Crawling Ajax by Inferring User Int
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discusses the findings and open iss
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5.3 A Method for Crawling Ajax The
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Robot click UI Browser generate cli
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5.3.5 Creating States After firing
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1 crawl MyAjaxSite { 2 url: http://
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The generator uses JTidy 10 to pret
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G1. For the experiment we have manu
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19247 examined candidate elements,
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ich interactivity and responsivenes
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5.8 Related Work The concept behind
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Invariant-Based Automatic Testing o
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has some support for client-side sc
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6.3.2 Trigger Once we are able to d
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a new edge is created on the graph
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Other Invariants. In line with the
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6.7.1 Oracle Comparators After each
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Algorithm 4 Pre/postCrawling hooks
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LOC Server-side LOC Client-side DOM
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todo items, removing all items inst
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Failure Cause Violated Invariant In
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plications) is that it is very hard
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1. A series of fault models that ca
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Conclusion ith the advent of Ajax t
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out to be an appropriate framework
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plays a more prominent role in the
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correct behavior. Violations in the
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A great deal of our work has focuse
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A Single-page Ajax Example Applicat
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1 if(navigator.appName == "Microsof
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Figure A.5 The run-time DOM instanc
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Figure A.7 The request/response tra
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Samenvatting ⋆ Analyse en Testing
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een dergelijk model te creëren, do
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Bibliography Abrams, M., Phanouriou
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Bouras, C. and Konidaris, A. (2005)
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De Lucia, A., Scanniello, G., and T
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Garofalakis, M., Gionis, A., Rastog
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Levenshtein, V. L. (1996). Binary c
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Netscape (1995). An exploration of
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Sprenkle, S., Pollock, L., Esquivel
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Wohlin, C., Runeson, P., Höst, M.,
Page 203 and 204:
Curriculum Vitae Personal Data Full
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A. Dijkstra. Stepping through Haske
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M. A. Abam. New Data Structures and
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