Activity-Based Software Process Lines Tailoring

2014 ◽  
Vol 24 (09) ◽  
pp. 1357-1381 ◽  
Author(s):  
Wagner Gadêa Lorenz ◽  
Miguel Bauermann Brasil ◽  
Lisandra Manzoni Fontoura ◽  
Guilherme Vaz Pereira
Keyword(s):  
Systematic Approach ◽  
Selection Process ◽  
Software Process ◽  
Process Definition ◽  
Web Tool ◽  
Complex Time ◽  
Support Tool ◽  
Process Engineer ◽  
Process Elements ◽  
Selection Of

Software process definition requires choosing the process elements that appropriately fulfil the tailoring requirements, such as to prevent risks or to satisfy quality goals. The selection of appropriate process elements is usually done manually, making this process complex, time-consuming and error-prone. Our main objective is to define a systematic approach to tailor software process and a support tool to simplify and to support the tailoring process by improving the selection process of reusable process elements. We developed a systematic approach to tailor software process based on software process architectures and lines. This approach selects the process elements that appropriately match the tailoring requirements. A web tool was developed to support the use of the proposed approach. We concluded that the approach aids process engineer to make decisions for selecting a set of process elements suitable to the tailoring requirements and to the project context.

Decision Support Tools for Selection of External Protective Coating for Pipelines

2017 ◽  
Author(s):  
S. Yasseri ◽  
H. Bahai ◽  
M. T. Rahmati
Keyword(s):  
Decision Support ◽  
High Performance ◽  
Selection Process ◽  
Decision Support Tool ◽  
Cost Effective ◽  
Single Type ◽  
Support Tool ◽  
Support Tools ◽  
Good Coating ◽  
Selection Of

A good coating is one with high performance and durability; has a low surveillance and maintenance requirement; is easily applied with no health risks and finally is cost effective. It is unlikely that a single type of coating would be able to satisfy all these needs. Thus, a decision support tool is needed to help identify the most appropriate choice. This paper presents three simple methods for this selection process, and allows the judgment of more than one expert to be aggregated in order to reach a consensus. An example is presented which demonstrates the application of these methods, by providing the decision-maker the ability to weigh options and set priorities in deciding on the best compromise solution for a corrosion coating material.

Rapid Elaboration of Fragments into Leads Applied to Bromodomain-3 Extra Terminal Domain

2020 ◽  
Author(s):  
Luke Adams ◽  
Lorna E. Wilkinson-White ◽  
Menachem J. Gunzburg ◽  
Stephen J. Headey ◽  
Martin J. Scanlon ◽  
...  
Keyword(s):  
Binding Site ◽  
Systematic Approach ◽  
Structural Information ◽  
Peptide Binding ◽  
Chemical Diversity ◽  
Chemical Probes ◽  
Protein Targets ◽  
Structure Activity ◽  
Peptide Binding Site ◽  
Selection Of

The development of low-affinity fragment hits into higher affinity leads is a major hurdle in fragment-based drug design. Here we demonstrate an approach for the Rapid Elaboration of Fragments into Leads (REFiL) applying an integrated workflow that provides a systematic approach to generate higher-affinity binders without the need for structural information. The workflow involves the selection of commercial analogues of fragment hits to generate preliminary structure-activity relationships. This is followed by parallel microscale chemistry using chemoinformatically designed reagent libraries to rapidly explore chemical diversity. Upon completion of a fragment screen against Bromodomain-3 extra terminal (BRD3-ET) domain we applied the REFiL workflow, which allowed us to develop a series of tetrahydrocarbazole ligands that bind to the peptide binding site of BRD3-ET. With REFiL we were able to rapidly improve binding affinity >30-fold. The REFiL workflow can be applied readily to a broad range of protein targets without the need of a structure, allowing the efficient evolution of low-affinity fragments into higher affinity leads and chemical probes.<br>

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

Multidimensional Phase I Dose Ranging Trials for Stroke Recovery Interventions: Key Challenges and How to Address Them

2021 ◽  
pp. 154596832110193
Author(s):  
Emily J. Dalton ◽  
Leonid Churilov ◽  
Natasha A. Lannin ◽  
Dale Corbett ◽  
Bruce C. V. Campbell ◽  
...  
Keyword(s):  
Decision Support ◽  
Phase I ◽  
Early Phase ◽  
Phase I Trial ◽  
Systematic Approach ◽  
Decision Support Tool ◽  
Maximum Tolerated Dose ◽  
Stroke Recovery ◽  
Support Tool ◽  
Dose Ranging

Despite an increase in the amount of published stroke recovery research, interventions have failed to markedly affect the trajectory of recovery poststroke. We argue that early-phase research to systematically investigate dose is an important contributor to advance the science underpinning stroke recovery. In this article, we aim to ( a) define the problem of insufficient use of a systematic approach to early-phase, multidimensional dose articulation research and ( b) propose a solution that applies this approach to design a multidimensional phase I trial to identify the maximum tolerated dose (MTD). We put forward a design template as a decision support tool to increase knowledge of how to develop a phase I dose-ranging trial for nonpharmaceutical stroke recovery interventions. This solution has the potential to advance the development of efficacious stroke recovery interventions, which include activity-based rehabilitation interventions.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

scholarly journals Optimising the selection of food items for FFQs using Mixed Integer Linear Programming

2014 ◽  
Vol 18 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Johanna C Gerdessen ◽  
Olga W Souverein ◽  
Pieter van ‘t Veer ◽  
Jeanne HM de Vries
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Selection Process ◽  
Saturated Fat ◽  
Mixed Integer ◽  
Monounsaturated Fat ◽  
Food Items ◽  
Milp Model ◽  
Selection Of

AbstractObjectiveTo support the selection of food items for FFQs in such a way that the amount of information on all relevant nutrients is maximised while the food list is as short as possible.DesignSelection of the most informative food items to be included in FFQs was modelled as a Mixed Integer Linear Programming (MILP) model. The methodology was demonstrated for an FFQ with interest in energy, total protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, total carbohydrates, mono- and disaccharides, dietary fibre and potassium.ResultsThe food lists generated by the MILP model have good performance in terms of length, coverage and R2 (explained variance) of all nutrients. MILP-generated food lists were 32–40 % shorter than a benchmark food list, whereas their quality in terms of R2 was similar to that of the benchmark.ConclusionsThe results suggest that the MILP model makes the selection process faster, more standardised and transparent, and is especially helpful in coping with multiple nutrients. The complexity of the method does not increase with increasing number of nutrients. The generated food lists appear either shorter or provide more information than a food list generated without the MILP model.

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

Does Audit Committee Disclosure of Partner-Selection Involvement Signal Greater Audit Quality?

2021 ◽  
Author(s):  
Jimmy F. Downes ◽  
Michelle A. Draeger ◽  
Abbie E. Sadler
Keyword(s):  
Audit Committee ◽  
Audit Quality ◽  
Selection Process ◽  
Partner Selection ◽  
Analyst Forecasts ◽  
Securities And Exchange Commission ◽  
Audit Committees ◽  
Voluntary Disclosures ◽  
Level Of Involvement ◽  
Selection Of

We investigate whether audit committees use voluntary disclosures to signal the committees’ higher level of involvement in the audit partner-selection process, which contributes to higher levels of audit quality. Audit committees more involved in the partner-selection process should ensure the selection of a more rigorous partner. We test this conjecture by first identifying partners new to audit engagements. We then compare audit quality for companies whose audit committees disclose involvement in the selection of the new partner to those without this disclosure. We find that this disclosure is positively associated with audit quality (measured using discretionary accruals, misstatements, and meeting consensus analyst forecasts by a very small margin). Our results are more salient for complex companies and those with powerful audit committees. These findings highlight that audit committees use their disclosures to signal involvement in the partner-selection process and are relevant to the Securities and Exchange Commission.

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