There are many industrial products in our life, and the actions of those products are controlled by embedded control software (ECSW). Recently, many troubles have been caused by ECSW. To avoid those troubles, it is necessary to clarify the causes of the troubles and take countermeasures. However, the results of those tasks depend on the skills of the analyst. This paper proposes an analytic method that clarifies the causes of troubles by applying fault tree analysis (FTA) to the ECSW. The characteristics of the proposed method are as follows: Preparation of fault tree templates (FTTs) corresponding to instructions of the ECSW, and definition of the FT development rules by combining FTTs according to the back-tracing of the instruction execution process. By complying with the proposed method strictly, when an analyst who has studied computer science and safety engineering for 2–3 years conducts FTA, the analyst can obtain an appropriate result of FTA. This indicates that the safety level of ECSW will improve. As a result of applying the proposed method to existing ECSWs, we find that we can obtain the result of FTA at the appropriate level.
In this study, we proposed a method to improve the safety level of control software (CSW) by managing the CSW’s design information and safety analysis results, and combining failure mode and effects analysis (FMEA) and fault tree analysis (FTA). Here, the CSW is developed using structured analysis and design methodology. In the upper stage of the CSW’s development process, as the input of the preliminary design information (data flow diagrams (DFDs) and control flow diagrams (CFDs)), the causes of undesirable events of the CSW are clarified by FMEA, and the countermeasures are reflected in the preliminary design information. In the lower stage of the CSW’s development process, as the inputs of the detailed design information (DFDs and CFDs in the lower level) and programs, the causes of the specific undesirable event are clarified by FTA, and the countermeasures are reflected in the detailed design specifications and programs. The processes are repeated until the impact of undesirable events become the acceptable safety level. By applying the proposed method to the CSW installed into a communication control equipment on the space system, we clarified several undesirable events and adopted adequate countermeasures. Consequently, a safer CSW is developed by applying the proposed method.
Changes of software requirements are inevitable during the development life cycle. Rather than avoiding the circumstance, it is easier to just accept it and find a way to anticipate those changes. This paper proposes a method to analyze the volatility of requirement by using the Quality Function Deployment (QFD) method and the introduced degree of volatility. Customer requirements are deployed to software functions and subsequently to architectural design elements. And then, after determining the potential for changes of the design elements, the degree of volatility of the software requirements is calculated. In this paper the method is described using a flow diagram and illustrated using a simple example, and is evaluated using a case study.
Sistem Informasi Terpadu STIS (SIPADU-STIS) merupakan sistem informasi yang digunakan di Politeknik Statistika STIS untuk menunjang penyelenggaraan kegiatan akademik di kampus. SIPADU-STIS dikembangkan pada tahun 2010 dan telah digunakan sebagai sistem informasi utama di Politeknik Statistika STIS hingga saat ini. Namun, belum pernah dilakukan penelitian secara khusus mengenai faktor-faktor yang memengaruhi kesuksesan SIPADU Web Portal Mahasiswa sebagai sistem informasi akademik. Sistem informasi yang telah dikembangkan dan diimplementasikan pada dasarnya masih perlu dikaji kesuksesan dan faktor-faktor yang memengaruhinya. Kriteria kesuksesan sistem informasi dalam penelitian ini mengacu pada Model Kesuksesan Sistem Informasi DeLone & McLean yang telah dimodifikasi. Tujuan untuk mengetahui variabel yang memengaruhi keberhasilan SIPADU sebagai sistem informasi akademik di Politeknik Statistika STIS. Fokus penelitian ini adalah SIPADU-STIS Web Portal Mahasiswa. Variabel yang diteliti meliputi kualitas sistem, kualitas informasi, kualitas layanan, kepuasan pengguna, dan manfaat bersih. Hasilnya seluruh variabel prediktor berpengaruh positif signifikan dan memberikan validasi pada Model Kesuksesan Sistem Informasi DeLone & McLean. Dari hasil analisis juga diberikan rekomendasi yang dapat menjadi pertimbangan dalam pengembangan SIPADU yang baru yang sedang berlangsung.
Revolusi industri 4.0 mengarah ke era digitalisasi dan menjalani semuanya serba digital. Industri 4.0 sebagai produksi dari Cyber-Physical System (CPS) yang terintegrasi dan berkorelasi dengan algoritma, Big Data, hingga Internet of Things (IoT). CPS ialah suatu integrasi antara suatu perhitungan atau komputasi dengan proses fisik dari sistem. Salah satu penerapan CPS adalah IoT yang saling terhubung dengan proses fisik melalui jaringan Internet. IoT berkaitan dengan sistem pintar, seperti smart home, smart office, dan sebagainya sesuai di mana teknologi IoT tersebut diterapkan. Smart home atau smart office merupakan contoh di mana rumah atau gedung perkantoran yang sudah memanfaatkan teknologi IoT sehingga pengoperasian bangunan tersebut menjadi mudah dan saling terintegrasi antar proses fisiknya. BPS salah satu lembaga non-kementerian yang memiliki gedung perkantorannya guna melaksanakan tugas pemerintahannya. Dalam penelitian ini dilakukan kajian penerapan IoT pada Pusdiklat BPS sehingga menjadi gedung perkantoran yang “smart”. Penerapan IoT dilakukan pada sistem penerangan yang ada di Pusdiklat BPS. Sistem penerangan dapat secara otomatis menyalakan lampu jika ada orang di dalam ruangan, serta mematikan lampu jika tidak ada orang di dalam ruangan. Untuk melihat seberapa signifikan pengeluaran energi dengan dan tanpa menggunakan sistem automasi dilakukan uji sampel berpasangan. Hasilnya bahwa terdapat cukup bukti adanya perbedaan penggunaan energi dengan dan tanpa menggunakan sistem automasi.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.