Sampling Effect on Performance Prediction of Configurable Systems

Pereira, Juliana Alves; Acher, Mathieu; Martin, Hugo; Jézéquel, Jean-Marc

doi:10.1145/3358960.3379137

Cited by 40 publications

(49 citation statements)

References 39 publications

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“…Since evasion attacks is a technique based on gradient descent, the direction of interest towards which the adversarial configuration should move is the opposite of this value. This vector is then multiplied by the step size t and subtracted to the previous move (5). The final position is returned after the number of displacements has been reached.…”

Section: A Dedicated Evasion Algorithmmentioning

confidence: 99%

“…For each category, different implementations are also proposed. For instance, regarding evasion attacks, multiple implementations are provided 5 , some can hide even more implementations, such as the Cleverhans attack which is based on an external library 6 providing even more possibilities 7 . Among all of them, CAttackEvasionPGD is probably the most direct imple-…”

Section: Secmlmentioning

confidence: 99%

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Empirical assessment of generating adversarial configurations for software product lines

et al. 2021

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Software product line (SPL) engineering allows the derivation of products tailored to stakeholders' needs through the setting of a large number of configuration options.Unfortunately, options and their interactions create a huge configuration space which is either intractable or too costly to explore exhaustively. Instead of covering all products, machine learning (ML) approximates the set of acceptable products (e.g., successful builds, passing tests) out of a training set (a sample of configurations). However, ML techniques can make prediction errors yielding non-acceptable products wasting time, energy and other resources.We apply adversarial machine learning techniques to the world of SPLs and craft new configurations faking to be acceptable configurations but that are not and vice-versa. It allows to diagnose prediction errors and take appropriate actions. We develop two adversarial configuration generators on top of state-

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Section: A Dedicated Evasion Algorithmmentioning

confidence: 99%

Section: Secmlmentioning

confidence: 99%

Empirical assessment of generating adversarial configurations for software product lines

et al. 2021

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“…Contoh penerapan sistem yang dapat dikonfigurasi adalah Ground Test Sistem for the A400M Aircraft [9] dan penjualan retail [10]. Saat ini sistem yang dapat dikonfigurasi banyak dikembangkan karena sistem yang dapat dikonfigurasi memungkinkan pengguna untuk melakukan berbagai macam penyesuaian secara mandiri [11,12], mengurangi kompleksitas produk dan dapat diterapkan secara luas kepada banyak pelanggan [13], dapat dikonfigurasi kapan saja [13,14], dan mengurangi biaya untuk memanggil developer [14]. Salah satu kunci utama dalam membangun sistem yang dapat dikonfigurasi secara optimal adalah menentukan bagian dari sistem yang dapat dikonfigurasi dan model konfigurasi untuk bagian tersebut [14].…”

Section: Sistem Informasi Penggajian Seperti Ini Disebut Customized Punclassified

Pembuatan Configurable Payroll Software Untuk Meningkatkan Keleluasaan Saat Pengembangan Sistem Penggajian

Limanto¹,

Tjandra²,

Putra³

2021

teknika

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Aturan dan komponen penggajian dari setiap perusahaan berbeda-beda disesuaikan dengan kondisi perusahaan. Aturan penggajian yang telah ditetapkan seringkali mengalami perubahan akibat adanya perubahan peraturan pemerintah ataupun kebijakan perusahaan. Hal tersebut mengakibatkan program penggajian yang digunakan oleh perusahaan perlu disesuaikan. Penyesuaian dapat dilakukan dengan memanggil pengembang program sehingga membutuhkan waktu yang relatif lebih lama dan biaya yang lebih besar. Untuk mengatasi permasalahan yang ada, dikembangkan sebuah program penggajian yang dapat dikonfigurasi sendiri oleh pengguna sistem sehingga tidak perlu memanggil pengembang program. Uji coba dilakukan dengan menggunakan metode black box testing dan simulasi. Pengujian dengan black box testing dilakukan dengan menggunakan berbagai macam skenario untuk mewakili setiap kemungkinan output dan mencocokkan hasilnya dengan desain yang telah dirancang sebelumnya. Setelah pengujian dengan black box testing berhasil, pengujian dilanjutkan dengan simulasi. Simulasi dilakukan dengan cara menerapkan fitur konfigurasi pada 3 buah sistem penggajian dari 3 jenis perusahaan yang berbeda. Hasil simulasi menunjukkan bahwa fasilitas konfigurasi pada sistem penggajian memungkinkan program yang dikembangkan memenuhi kebutuhan berbagai macam sistem penggajian dari setiap responden dan memudahkan pengguna dalam mengatur setiap faktor dan komponen penggajian seperti lembur, tunjangan dan potongan yang akan digunakan dalam sistem penggajian perusahaan tersebut. Hal ini menunjukkan adanya kemudahan dalam pengembangan sistem penggajian di kemudian hari secara mandiri sehingga dapat menghemat waktu dan biaya.

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“…In [30], Madani et al use multi-threading for "select-based" operations in EOL, the OCL-like language of the Epsilon framework, for querying models. e extension of the language with parallel features for selective operations have shown a non-negligible speed-up (up to 6x with 16 cores) in their evaluations on a model conform to the Internet Movie Database (IMDb) metamodel 1 . Next to query evaluation, multi-threading is also used for model transformation.…”

Section: Task-parallelismmentioning

confidence: 99%

“…For instance, instead of providing a full con guration for the tools, which is very costly, a performance prediction built from con guration samples could be used. is solution has been adopted by Pereira et al [1]. Another approach would be to make a full cost estimation but only considering critical parameters.…”

Section: Devops-related Challengesmentioning

confidence: 99%

Towards transparent combination of model management execution strategies for low-code development platforms

Philippe

Coullon

Tisi

et al. 2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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Low-code development platforms are taking an important place in the model-driven engineering ecosystem, raising new challenges, among which transparent e ciency or scalability. Indeed, the increasing size of models leads to di culties in interacting with them e ciently. To tackle this scalability issue, some tools are built upon speci c computational strategies exploiting reactivity, or parallelism. However, their performances may vary depending on the speci c nature of their usage. Choosing the most suitable computational strategy for a given usage is a di cult task which should be automated. Besides, the most e cient solutions may be obtained by the use of several strategies at the same time. is paper motivates the need for a transparent multi-strategy execution mode for model-management operations. We present an overview of the di erent computational strategies used in the model-driven engineering ecosystem, and use a running example to introduce the bene ts of mixing strategies for performing a single computation. is example helps us present our design ideas for a multi-strategy model-management system. e code-related and DevOps challenges that emerged from this analysis are also presented. CCS CONCEPTS •So ware and its engineering →So ware creation and management; •Computing methodologies →Parallel algorithms;

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Sampling Effect on Performance Prediction of Configurable Systems

Cited by 40 publications

References 39 publications

Empirical assessment of generating adversarial configurations for software product lines

Empirical assessment of generating adversarial configurations for software product lines

Pembuatan Configurable Payroll Software Untuk Meningkatkan Keleluasaan Saat Pengembangan Sistem Penggajian

Towards transparent combination of model management execution strategies for low-code development platforms

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