Using Deductive Cause-Consequence Analysis (DCCA) with SCADE

نویسندگان

  • Matthias Güdemann
  • Frank Ortmeier
  • Wolfgang Reif
چکیده

Esterel Technologies’ SCADE Suite is one of the most important development tools for software for safety-critical systems. It is used for designing many critical components of aerospace, automotive and transportation applications. For such systems safety analysis is a key requirement in the development process. In this paper we show how one formal safety analysis method – Deductive Cause-Consequence Analysis (DCCA) – can be integrated in the SCADE framework. This method allows for performing safety analysis largely automatically. It uses SCADE’s semantical model and SCADE’s built in verification engine Design Verifier. So the whole analysis can be done within one tool. This is of big importance, as a key feature for the acceptance of formal methods in broad engineering practice is, that they can be applied in an industrial development suite. We illustrate the method on a real world case study from transportation domain and discuss possible next steps and limitations.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Formal Safety Analysis of a Radio-Based Railroad Crossing Using Deductive Cause-Consequence Analysis (DCCA)

In this paper we present the formal safety analysis of a radiobased railroad crossing. We use deductive cause-consequence analysis (DCCA) as analysis method. DCCA is a novel technique to analyze safety of embedded systems with formal methods. It substitutes error-prone informal reasoning by mathematical proofs. DCCA allows to rigorously prove whether a failure on component level is the cause fo...

متن کامل

Analysis of Correlation Based Dimension Reduction Methods

Dimension reduction is an important topic in data mining and machine learning. Especially dimension reduction combined with feature fusion is an effective preprocessing step when the data are described by multiple feature sets. Canonical Correlation Analysis (CCA) and Discriminative Canonical Correlation Analysis (DCCA) are feature fusion methods based on correlation. However, they are differen...

متن کامل

Designing Safe, Reliable Systems Using Scade

As safety critical systems increase in size and complexity, the need for efficient tools to verify their reliability grows. In this paper we present a tool that helps engineers design safe and reliable systems. Systems are reliable if they keep operating safely when components fail. Our tool is at the core of the Scade Design Verifier integrated within Scade, a product developed by Esterel Tech...

متن کامل

Cause-Consequence Modeling of Occupational Accidents in Construction Sites: A Retrospective Study in Iran

Introduction: Nearly half of occupational accidents in Iran occur in construction sites. Therefore, modeling of occupational accidents in these sites is one of the solutions to design safety strategies to reduce occupational accidents in the field of construction. This study was designed and conducted with the aim of modeling the cause-consequence of accidents in construction sites. Material a...

متن کامل

Statistical tests for power-law cross-correlated processes.

For stationary time series, the cross-covariance and the cross-correlation as functions of time lag n serve to quantify the similarity of two time series. The latter measure is also used to assess whether the cross-correlations are statistically significant. For nonstationary time series, the analogous measures are detrended cross-correlations analysis (DCCA) and the recently proposed detrended...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007