The Key Roles of Maintainability in an Ontology for System Qualities

Boehm, Barry; Chen, Celia; Srisopha, Kamonphop; Shi, Lin

doi:10.1002/j.2334-5837.2016.00278.x

Cited by 13 publications

(4 citation statements)

References 20 publications

(24 reference statements)

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“…On the other hand, a system's "Changeability" should be defined by the capability to adapt based on the current state ("Maintainability" and "Adaptability"). After that, it only takes a second to realize that "Reparability" and "Affordability" should have a direct causal feedback loop to "Maintainability" as "Reparability" sustains the long-term functionality and "Affordability" indicates that the system has to be economically sustainable to be maintained (Boehm and Kukreja, 2017;Boehm et al, 2016). Similar to the generic functions mentioned before, these qualities are widely found in most critical infrastructure systems.…”

Section: Quality Layermentioning

confidence: 83%

Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model

Tang

Heinimann

Han

et al. 2019

Preprint

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This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation infrastructure. Based on systemic thinkings and sustainability perspectives, we investigate the long-term resilience of the road transportation systems in four cities of China from 1998 to 2017, namely Beijing, Tianjin, Shanghai, and Chongqing, respectively. The model takes into account the factors involved in stages of design, construction, operation, management, and innovation of urban road transportation, which collected from multi-source data platforms. We test the model with the forward inference, sensitivity analysis, and backward inference. The result shows that the overall resilience of all four cities' transportation infrastructure is within a moderate range with values between 50% to 60%. Although they all have an ever-increasing economic level, Beijing and Tianjin demonstrate a clear "V" shape in the long-term transportation resilience, which indicates a strong multidimensional, dynamic, and non-linear characteristic in resilience-economic coupling effect. Additionally, the results obtained from the sensitivity analysis and backward inference suggest that urban decision-makers should pay more attention to the capabilities of quick rebuilding and making changes to cope with future disturbance. As an exploratory study, this study clarifies the concepts of long-term multi-dimensional resilience and specific hazard-related resilience and provides an effective decision-support tool for stakeholders when building sustainable infrastructure.

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Section: Quality Layermentioning

confidence: 83%

Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model

Tang

Heinimann

Han

et al. 2019

Preprint

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“…It will then present recent US work in developing ontologies identifying the relations among and sources of variation in quantitative SQ values [3,4,11], and in coordinating these with counterpart efforts in Europe [10] and elsewhere.…”

Section: Improving and Balancing Sqsmentioning

confidence: 99%

“…The System Qualities Ontology, Tradespace, and Affordability (SQOTA) ontology presented in [3] and updated in [4] is based on the IDEF5 ontology framework, with the top-2 levels of a a classhierarchy SQ framework shown in the table below, and meansends relationships among the SQs. Unlike ISO/IEC 25010, which imposes a strict but unrealistic one-to-many SQ hierarchy, the SQOTA framework permits many-to many relations at level 2 (as with Maintainability) and at lower levels.…”

Section: Improving and Balancing Sqsmentioning

confidence: 99%

Improving and balancing software qualities

Boehm

2016

Proceedings of the 38th International Conference on Software Engineering Companion

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This Technical Briefing describes the nature of Software Qualities (SQs), ilities, or non-functional requirements (reliability, usability, affordability, etc.), and discusses the importance of understanding their nature and interrelationships, and of bringing them into balance in the practice of software engineering. The relevance and timeliness of this topic reflects the current and future trends toward more software-intensive systems, with greater complexity, autonomy, speed of change, and need for interoperability within systems of systems, given the frequent system shortfalls and overruns that occur when their SQ balance is not achieved. It discusses the weaknesses of current SQ standards and guidance, and summarizes research toward strengthening current SQ definitions and relationships. This includes a set of initial SQ ontology elements and relationships, examples of their application to some key SQs, an identification of further research and development needed to make the ontology fully useful and evolvable, and the nature of an international collaborative effort to help improve current practices via a Qualipedia for accessing the evolving body of knowledge for improving SQ engineering.

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“…The SQOTA ontology identified Maintainability as not only supporting Affordability in terms of total ownership costs, but also supporting Changeability and Dependability (see Table ). Maintainability supports Changeability in terms of rapid adaptability to new opportunities and threats, and also supports Dependability in terms of Availability, in that reducing Mean Time to Repair (MTTR) for a system with a given Reliability in terms of Mean Time Between Failures (MTBF) improves Availability via the equation Availability = MTBF/(MTBF+MTTR) …”

Section: Introductionmentioning

confidence: 99%

Anticipatory development processes for reducing total ownership costs and schedules

Boehm

Behnamghader

2019

Systems Engineering

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Many systems and software processes overfocus on getting a project and product from an initial set of requirements to an Initial Operational Capability (IOC). Examples are most waterfall and V models. Projects following such processes may pass acceptance tests for functionality and performance, but may leave the product with serious maintainability shortfalls. Many agile processes focus on users' initial usage priorities, but often make development commitments for earlier needs that are incompatible with achieving later critical needs (eg, security, safety). Incremental development process models can do better, but often later increments may find that the earlier increments have not prepared them for ease of modification and repair. Besides increasing Total Ownership Costs (TOCs), long mean times to repair result in long downtimes, which can be critical to an organization's income and reputation. Furthermore, many of these shortfalls take the form of Technical Debt (TD), in that the later they are fixed, the more slow and expensive will be the fixes. This paper summarizes three process frameworks and tools providing more anticipatory ways to improve systems and software maintainability and life‐cycle cost‐effectiveness. The first framework is an Opportunity Tree for identifying and anticipating such ways. The second framework, Software Quality Understanding by Analysis of Abundant Data (SQUAAD), is a toolset for tracking a software project's incremental code commits, and analyzing and visualizing each commit's incremental and cumulative TD. The third framework is a Software/Systems Maintenance Readiness Framework (SMRF), that identifies needed maintenance readiness levels at development decision reviews, similar to the Technology Readiness Levels (TRLs) framework.

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The Key Roles of Maintainability in an Ontology for System Qualities

Cited by 13 publications

References 20 publications

Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model

Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model

Improving and balancing software qualities

Anticipatory development processes for reducing total ownership costs and schedules

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