Entry Stewart:2000:AAF from sigsoft2000.bib

Last update: Sun Aug 5 02:03:07 MDT 2018                Valid HTML 4.0!

Index sections

Top | Symbols | Math | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

BibTeX entry

@Article{Stewart:2000:AAF,
  author =       "David B. Stewart",
  title =        "Automated analysis and fine-tuning of timing
                 properties in embedded real-time systems",
  journal =      j-SIGSOFT,
  volume =       "25",
  number =       "1",
  pages =        "86--87",
  month =        jan,
  year =         "2000",
  CODEN =        "SFENDP",
  DOI =          "https://doi.org/10.1145/340855.341028",
  ISSN =         "0163-5948 (print), 1943-5843 (electronic)",
  ISSN-L =       "0163-5948",
  bibdate =      "Wed Aug 1 17:13:50 MDT 2018",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/sigsoft2000.bib",
  abstract =     "An extremely time-consuming task of producing an
                 embedded real-time system is the final analysis and
                 fine-tuning of the system's timing. Existing CASE tools
                 focus on the software specification and design of
                 embedded systems. They provide little, if any, support
                 after the software has been implemented. Even if the
                 developer uses a CASE tool to design their system, it
                 likely does not meet the timing specifications on the
                 first try. This happens because the CASE tool's
                 software design and real-time analysis is based only on
                 estimated data and idealized models. The tools do not
                 take into account practical concerns such as operating
                 system overhead, interrupt handling, limitations of the
                 programming language or processor, inaccuracies in
                 estimating worst-case execution time of each process,
                 and software errors introduced at the implementation
                 phase by the programmers. Performance monitoring tools
                 allow developers to obtain raw data from the underlying
                 embedded system in real-time. These tools provide most,
                 if not all, of the data needed to pinpoint the problem.
                 Such data, however, is not provided in a symbolic
                 fashion, and thus could be very difficult to
                 understand. The monitors only show what happened during
                 run-time, without correlating those results to the
                 original specifications. Performance monitors also do
                 not perform any analysis on the data that is collected.
                 As a result, there is no means to easily differentiate
                 between parts of the execution that are ``normal''
                 versus those parts that have difficult-to-detect timing
                 errors. Only an expert's eye can quickly spot the
                 differences. We are investigating tools that can help
                 embedded system designers analyze, debug, and fine-tune
                 the timing characteristics of their embedded
                 implementations. Such a tool can have a major impact,
                 by allowing designers whose expertise is in an area
                 other than real-time system analysis, such as
                 communications, controls, or hardware design, to use
                 the tool and obtain valuable information on how to fix
                 their code that is not performing according to
                 specifications.",
  acknowledgement = ack-nhfb,
  fjournal =     "ACM SIGSOFT Software Engineering Notes",
  journal-URL =  "https://dl.acm.org/citation.cfm?id=J728",
}

Related entries