Mining API mapping for language migration

Zhong, Hao; Thummalapenta, Suresh; Xie, Tao; Zhang, Lu; Wang, Qing

doi:10.1145/1806799.1806831

Cited by 124 publications

(99 citation statements)

References 16 publications

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“…-When we recognize the usage of standard library services (e.g., generic data structures), we will replace them with their Eiffel counterparts when possible, extending existing approaches for mapping APIs [30]. -Section 3 discussed possible additional sources of information to improve the amount of sound reengineered methods in datatype classes (e.g., struct arguments passed by copy).…”

Section: Discussionmentioning

confidence: 99%

Really Automatic Scalable Object-Oriented Reengineering

Trudel

Furia

Nordio

et al. 2013

ECOOP 2013 – Object-Oriented Programming

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Abstract. Even when implemented in a purely procedural programming language, properly designed programs possess elements of good design that are expressible through object-oriented constructs and concepts. For example, placing structured types and the procedures operating on them together in the same module achieves a weak form of encapsulation that reduces inter-module coupling. This paper presents a novel technique, and a supporting tool AutoOO, that extracts such implicit design elements from C applications and uses them to build reengineered object-oriented programs. The technique is completely automatic: users only provide a source C program, and the tool produces an object-oriented application written in Eiffel with the same input/output behavior as the source. An extensive evaluation on 10 open-source programs (including the editor vim and the math library libgsl) demonstrates that our technique works on applications of significant size and builds reengineered programs exhibiting elements of good object-oriented design, such as low coupling and high cohesion of classes, and proper encapsulation. The reengineered programs also leverage advanced features such as inheritance, contracts, and exceptions to achieve a better usability and a clearer design. The tool AutoOO is freely available for download.

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Section: Discussionmentioning

confidence: 99%

Really Automatic Scalable Object-Oriented Reengineering

Trudel

Furia

Nordio

et al. 2013

ECOOP 2013 – Object-Oriented Programming

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“…Among these, the work most directly related to ours is the MAM project [34]. MAM's goal is the same as Rosetta's, i.e., to mine software repositories to infer how a source API maps to a target API.…”

Section: R Wmentioning

confidence: 99%

Inferring likely mappings between APIs

Gokhale

Ganapathy

Padmanaban

2013

2013 35th International Conference on Software Engineering (ICSE)

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Abstract-Software developers often need to port applications written for a source platform to a target platform. In doing so, a key task is to replace an application's use of methods from the source platform API with corresponding methods from the target platform API. However, this task is challenging because developers must manually identify mappings between methods in the source and target APIs, e.g., using API documentation.We develop a novel approach to the problem of inferring mappings between the APIs of a source and target platform. Our approach is tailored to the case where the source and target platform each have independently-developed applications that implement similar functionality. We observe that in building these applications, developers exercised knowledge of the corresponding APIs. We develop a technique to systematically harvest this knowledge and infer likely mappings between the APIs of the source and target platform. The output of our approach is a ranked list of target API methods or method sequences that likely map to each source API method or method sequence. We have implemented this approach in a prototype tool called Rosetta, and have applied it to infer likely mappings between the Java2 Platform Mobile Edition and Android graphics APIs. I. ISoftware developers often wish to make their applications available on a wide variety of computing platforms. The developer of a gaming app, for instance, may wish to make his app available on smart phones and tablets manufactured by various vendors, on desktops, and via the cloud. The key hurdle that he faces in doing so is to port his app to these software and hardware platforms.Why is porting software a difficult problem? Consider an example: suppose that we wish to port a Java2 Platform Mobile Edition (JavaME)-based game to an Android-powered device. Among other tasks, we must modify the game to use Android's API [10] (the target platform) instead of JavaME's API [21] (the source platform). Unfortunately, the process of identifying the API methods in the target platform that implement the same functionality corresponding to that of a source platform API method is cumbersome. We must manually examine the SDKs of the source and target APIs to determine the right method (or sequence of methods) to use. To add complexity, there could be multiple ways in which a source API method can be implemented using the target's API methods. For example, the fillRect() method in JavaME's graphics API, which fills a specified rectangle with color, can be implemented using either one of these two sequences of methods in Android's graphics API: setStyle();drawRect() or as moveTo();lineTo(); lineTo();lineTo();lineTo();drawPath() (we have omitted class names and the parameters to these method calls).One way to address this problem is to populate a database of mappings between the APIs of the source and target platforms. In this database, each source API method (or method sequence) is mapped to a target API method (or method sequence) that implements its f...

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“…Based on the work described in projects, including Rosetta [2] and MAM [3], Cloud Twin can be enhanced with the ability to automatically update itself in response to the changes in source and target APIs. The current Cloud Twin implementation defines exactly which components on Android are written to the intermediate language and exactly what those intermediate language components are written to in the Windows Phone.…”

Section: Automating Adoption Of Api Evolutionmentioning

confidence: 99%

Cloud Twin: Native execution of android applications on the Windows Phone

Holder

Shah

Davoodi

et al. 2013

2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)

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Abstract-To successfully compete in the software marketplace, modern mobile applications must run on multiple competing platforms, such as Android, iOS, and Windows Phone. Companies producing mobile applications spend substantial amounts of time, effort, and money to port applications across platforms. Creating individual program versions for different platforms further exacerbates the maintenance burden. This paper presents Cloud Twin, a novel approach to natively executing the functionality of a mobile application written for another platform. The functionality is accessed by means of dynamic cross-platform replay, in which the source application's execution in the cloud is mimicked natively on the target platform. The reference implementation of Cloud Twin natively emulates the behavior of Android applications on a Windows Phone. Specifically, Cloud Twin transmits, via web sockets, the UI actions performed on the Windows Phone to the cloud server, which then mimics the received actions on the Android emulator. The UI updates on the emulator are efficiently captured by means of Aspect Oriented Programming and sent back to be replayed on the Windows Phone. Our case studies with third-party applications indicate that the Cloud Twin approach can become a viable solution to the heterogeneity of the mobile application market.

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Mining API mapping for language migration

Cited by 124 publications

References 16 publications

Really Automatic Scalable Object-Oriented Reengineering

Really Automatic Scalable Object-Oriented Reengineering

Inferring likely mappings between APIs

Cloud Twin: Native execution of android applications on the Windows Phone

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