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Information Model of the Software Quality Assessment Automated System. P. 107–113

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Section: Physics. Mathematics. Informatics

UDC

004.05

Authors

Bederdinova Oksana Ivanovna
Institute of Shipbuilding and Arctic Marine Engineering, Severodvinsk Branch of Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk, Russia)
е-mail: O.Bederdinova@narfu.ru
Koryakovskaya Natal’ya Vladimirovna
Institute of Energy and Transport, Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk, Russia)
е-mail: N.Koryakovskaya@narfu.ru
Boitsova Yuliya Aleksandrovna
Institute of Shipbuilding and Arctic Marine Engineering, Severodvinsk Branch of Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk, Russia)
е-mail: yulia-baza@mail.ru

Abstract

According to the State Standard 28195-99 “Software Quality Assessment. General Provisions” the methodology of an integral estimation of the software tools quality characteristics and software programs in different stages of the life cycle is given in the paper. The product quality assessment is a hierarchical and multi-criteria process, and the model is formed by combining specific software tools quality characteristics (factors, criteria, metrics), selected their standard values depending on a subclass and software life cycle phases of the software tool and their reference values (28195-99-compliant) and real values obtained by the assessment. The software quality condition is determined by comparison of the real values of the software quality characteristics and subcharacteristics with the reference values. To provide the centralized storage of reference values, values assessment results of the factors, criteria, metrics and evaluative elements indicators and formed documents concerning the admissibility of required software tools quality level the information logical database model in accordance with international notation IDEF1X has been designed. To carry out the automated estimation process of software tools quality by the integral estimation method based on a four-level hierarchical model the functional interface structure of the automated system with notation IDEF0 in the form of Node Tree diagrams is established. Designed logical database model and the functional interface structure are the information models for the creation of an automated system of the software tools quality estimation. The use of this model will increase the efficiency and software quality evaluation adequacy in all stages of the life cycle and provide the automated documentation process.

Keywords

software life cycle, software quality criteria, software quality factors, software quality metrics
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References

  1. Kalinina L.Yu. Otsenka kachestva programmnykh produktov [Assessment of the Software Products Quality]. Kachestvo. Innovatsii. Obrazovanie [Quality. Innovation. Education], 2006, no. 4, pp. 52–55.
  2. Burakov V.V. Metodika otsenki kachestva programmnykh sredstv [Methods of the Software Quality Assessing]. Izv. vuzov. Priborostroenie, 2008, vol. 51, no. 1, pp. 13–18.
  3. Danilina T.G. Otsenka kachestva programmnogo obespecheniya v sootvetstvii s mezhdunarodnymi standartami [Software Quality Assessment in Accordance with the International Standards]. Radioelektronika i komp’yuternye sistemy, 2012, no. 7, pp. 266–269.
  4. GOST 28195-99. Otsenka kachestva programmnykh sredstv. Obshchie polozheniya [State Standard 28195-99. Software Quality Assessment. General Provisions]. Moscow, 1998. 49 p.
  5. Bederdinova O.I., Boitsova Yu.A. Kontseptual’naya model’ otsenivaniya kachestva programmnykh sredstv [Conceptual Model of the Software Quality Assessment]. Vestn. Sev. (Arktich.) feder. univ. Ser.: Estestv. nauki, 2014, no. 4, pp. 12–20.